6401 Pwc Jobs - Page 9

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Job Description: Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services. Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modeling, database design & implementation, data visualization, and advanced analytics. Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications. Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL. Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards. Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained Working with other members of the project team to support delivery of additional project components (API interfaces) Evaluating the performance and applicability of multiple tools against customer requirements Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints. Integrate Databricks with other technologies (Ingestion tools, Visualization tools). Proven experience working as a data engineer Highly proficient in using the spark framework (python and/or Scala) Extensive knowledge of Data Warehousing concepts, strategies, methodologies. Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks). Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics Experience in designing and hands-on development in cloud-based analytics solutions. Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required. Designing and building of data pipelines using API ingestion and Streaming ingestion methods. Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential. Thorough understanding of Azure Cloud Infrastructure offerings. Strong experience in common data warehouse modeling principles including Kimball. Working knowledge of Python is desirable Experience developing security models. Databricks & Azure Big Data Architecture Certification would be plus Mandatory Skill Sets ADE, ADB, ADF Preferred Skill Sets ADE, ADB, ADF Years Of Experience Required 4-8 Years Education Qualification BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Microsoft Azure Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Job Description: Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services. Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modeling, database design & implementation, data visualization, and advanced analytics. Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications. Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL. Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards. Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained Working with other members of the project team to support delivery of additional project components (API interfaces) Evaluating the performance and applicability of multiple tools against customer requirements Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints. Integrate Databricks with other technologies (Ingestion tools, Visualization tools). Proven experience working as a data engineer Highly proficient in using the spark framework (python and/or Scala) Extensive knowledge of Data Warehousing concepts, strategies, methodologies. Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks). Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics Experience in designing and hands-on development in cloud-based analytics solutions. Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required. Designing and building of data pipelines using API ingestion and Streaming ingestion methods. Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential. Thorough understanding of Azure Cloud Infrastructure offerings. Strong experience in common data warehouse modeling principles including Kimball. Working knowledge of Python is desirable Experience developing security models. Databricks & Azure Big Data Architecture Certification would be plus Mandatory Skill Sets ADE, ADB, ADF Preferred Skill Sets ADE, ADB, ADF Years Of Experience Required 4-8 Years Education Qualification BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Microsoft Azure Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Senior Associate Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities Consultant shall be responsible for the software delivery including development, configuration, maintenance and installation of third-party packages and software integration efforts. Consultant shall be responsible for the development and support of the ServiceNow GRC/IRM solutions. The role requires a pro-active/independent, strong software engineering skilled individual that knowns scripting techniques and software development/delivery methods (SDLC, CI/CD). Working as a Dev engineer to deliver solutions for enhancements to be delivered in a sprint. Working as an Ops engineer to fix bugs. Working in larger projects as developer to support initial implementation of new ServiceNow features. Working in DevOps to maintain ServiceNow platform versions (i.e., Release upgrade) Mandatory Skill Sets Experience in development and customization of ServiceNow solutions. 2. Hands-on experience in implementation of 1-3 IRM/GRC projects including Policy and Compliance management, Risk management, Audit Management. Experience in implementing VRM/TPM would be an added advantage. 3. Hands-on experience in defining Flows, workflows, business rules, script includes, client scripts, script action, reports, dashboards, ACL 4. Hands-on experience in implementing integrations. Integration Hub experience would be an added advantage. 5. Familiar with Agile Methodology. 6. Experience in working in agile/scrum delivery teams/DevOps 7. Self-starter and able to handle concurrent tasks with appropriate priority 8. Ability to challenge and debate issues of importance to the organization 9. Good interpersonal skills and a collaborative management style, both face-to-face and virtually 10. Good English communication skills both verbal and written. 11. ServiceNow CSA/CAD/Both Certification is mandatory. CIS – IRM would be an added advantage. Preferred Skill Sets Service Portal development in ServiceNow 2. Experience in Product evaluation 3. Integration experience with infrastructure monitoring solutions 4. Exposure in defining UX 5. ITIL certified: Foundation V3, Foundation 4 6. ITIL & ServiceNow certified. ServiceNow CSA certification is preferred 7. Micro-certification on ATF is preferred. 8. CIS – IRM would be an added advantage. Years Of Experience Required 4+ Yr experience Education Qualification BE/B.Tech/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills ServiceNow Platform Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities Leadership and Team Management: Leading teams: A Snowflake Manager often leads a team of developers, engineers, or other professionals involved in Snowflake implementation and management. Motivating and developing team members: This includes providing guidance, coaching, and opportunities for growth within the Snowflake ecosystem. Building a high-performing team: This involves attracting, hiring, and retaining top talent, and fostering a positive work environment. Driving Business Results: Achieving revenue targets: In sales-related roles, a Snowflake Manager will focus on driving pipeline generation, closing deals, and exceeding sales goals. Improving customer satisfaction: Ensuring customers are satisfied with Snowflake solutions and are receiving the support they need. Optimizing Snowflake usage: Helping organizations get the most value from their Snowflake investments. Managing Projects and Snowflake Deployments: Project planning and execution: Managing all aspects of Snowflake implementation projects, from scoping to launch. Coordinating with cross-functional teams:Working with other departments, such as engineering, data science, and marketing, to ensure successful Snowflake deployments. Monitoring and maintaining Snowflake infrastructure: Ensuring Snowflake is running efficiently and securely. Troubleshooting and resolving issues:Addressing any problems that arise with Snowflake. Technical Skills and Expertise: Understanding Snowflake architecture and features: Having a deep understanding of Snowflake's capabilities and how it integrates with other systems. Experience with SQL and data warehousing: Being proficient in SQL and understanding the principles of data warehousing. Knowledge of cloud computing: Having experience with cloud platforms like AWS, Azure, and Google Cloud. Understanding of data management principles: Understanding data loading, transformation, and extraction processes, as well as data retention and security. Soft Skills: Communication: Excellent written and verbal communication skills. Collaboration: Ability to work effectively with cross-functional teams. Problem-solving: Strong analytical and problem-solving skills. Leadership: Ability to lead and motivate teams. Organizational skills: Being highly organized and able to manage multiple projects simultaneously. Mandatory Skill Sets Snowflake, SQL, Python Preferred Skill Sets Snowflake, SQL, Python Years Of Experience Required 6-10 years Education Qualification BE/BTECH, ME/MTECH, MBA, MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Snowflake (Platform) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Design and develop data pipelines using Databricks and PySpark to ingest, process, and transform large volumes of data. Implement ETL/ELT workflows to move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using cloud-native tools. Work with structured and unstructured data stored in AWS or Azure Data Lakes. Apply strong SQL and Python skills to manipulate and analyze data efficiently. Collaborate with cross-functional teams to deliver cloud-based serverless data solutions. Design innovative data solutions that address complex business requirements and support data-driven decision-making. Maintain documentation and enforce best practices for data architecture, governance, and performance optimization. Mandatory Skill Sets Databricks, PySpark, and SQL on any cloud platform (AWS or Azure). Preferred Skill Sets ETL,Pyspark Years of experience required: 4 to 10 Years Education Qualification Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor Degree Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills PySpark Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: - A career in our Aptech MS Engg team will provide the opportunity to help our clients transform their technology landscape across Front, Back and Mid-Office function. We focus on contributing to PwC’s value proposition of “strategy led, and technology enabled”, by aligning our Consulting Solutions’ industry focus with the App Tech Engg technologies such as 365, Azure, Power Platform and Power BI. We Are Looking For Experienced Software Developers With Strong analytical and problem-solving abilities Willingness and to learn new technologies and adapt to changing project requirements Ability to prioritize tasks and manage time effectively to meet deadlines Good verbal and written communication skills Ability to work collaboratively in a team setting Responsibilities Write clean, scalable, and efficient code to develop and maintain enterprise applications, implementing features based on business requirements Participate and contribute towards the design and architecture discussions, document application design, code, and processes clearly Perform unit testing and integration testing to ensure the quality and functionality of the software; debug and resolve issues and bugs in applications Participate in peer reviews and provide constructive feedback Participate in continuous integration and deployment processes Collaborate with senior developers and architects to ensure best practices and design patterns are followed Work closely with other team members, including project leads, business analysts and QA testers Provide regular updates on progress and issues to project managers and stakeholders Required Skills & Knowledge Strong understanding of the .NET Framework, .NET Core; proficiency in C# Familiarity with Web API development and RESTful services Experience with Entity Framework or ADO.NET for data access Strong skills in SQL; ability to design and optimize queries and work with databases like SQL Server Knowledge of HTML, CSS, and JavaScript Experience with front-end frameworks like Angular, React, or Vue.js Experience with version control systems, particularly Git Familiarity with unit testing frameworks such as MSTest, NUnit, or xUnit Understanding of common design patterns and best practices in software architecture Experience with CI/CD tools and pipelines Exposure to Agile methodology Certifications/Credentials AZ-900: Azure Fundamentals AZ-204: Azure Developer Associate Mandatory Skill sets: .Net Core, Angular/React, C#, AZ-900: Azure Fundamentals/AZ-204: Azure Developer Associate Preferred Skill sets: .Net Core, Angular/React, C#, AZ-900: Azure Fundamentals/AZ-204: Azure Developer Associate Years of experience required: 4 to 7 Years Education qualification: B.Tech/B.E./MCA/MBA/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology, MBA (Master of Business Administration) Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Microsoft .NET Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Creativity {+ 46 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Job Description: Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services. Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modeling, database design & implementation, data visualization, and advanced analytics. Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications. Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL. Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards. Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained Working with other members of the project team to support delivery of additional project components (API interfaces) Evaluating the performance and applicability of multiple tools against customer requirements Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints. Integrate Databricks with other technologies (Ingestion tools, Visualization tools). Proven experience working as a data engineer Highly proficient in using the spark framework (python and/or Scala) Extensive knowledge of Data Warehousing concepts, strategies, methodologies. Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks). Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics Experience in designing and hands-on development in cloud-based analytics solutions. Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required. Designing and building of data pipelines using API ingestion and Streaming ingestion methods. Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential. Thorough understanding of Azure Cloud Infrastructure offerings. Strong experience in common data warehouse modeling principles including Kimball. Working knowledge of Python is desirable Experience developing security models. Databricks & Azure Big Data Architecture Certification would be plus Mandatory Skill Sets ADE, ADB, ADF Preferred Skill Sets ADE, ADB, ADF Years Of Experience Required 2-5 Years Education Qualification BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Microsoft Azure Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Strategy {+ 22 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities Leadership and Team Management: Leading teams: A Snowflake Manager often leads a team of developers, engineers, or other professionals involved in Snowflake implementation and management. Motivating and developing team members: This includes providing guidance, coaching, and opportunities for growth within the Snowflake ecosystem. Building a high-performing team: This involves attracting, hiring, and retaining top talent, and fostering a positive work environment. Driving Business Results: Achieving revenue targets: In sales-related roles, a Snowflake Manager will focus on driving pipeline generation, closing deals, and exceeding sales goals. Improving customer satisfaction: Ensuring customers are satisfied with Snowflake solutions and are receiving the support they need. Optimizing Snowflake usage: Helping organizations get the most value from their Snowflake investments. Managing Projects and Snowflake Deployments: Project planning and execution: Managing all aspects of Snowflake implementation projects, from scoping to launch. Coordinating with cross-functional teams:Working with other departments, such as engineering, data science, and marketing, to ensure successful Snowflake deployments. Monitoring and maintaining Snowflake infrastructure: Ensuring Snowflake is running efficiently and securely. Troubleshooting and resolving issues:Addressing any problems that arise with Snowflake. Technical Skills and Expertise: Understanding Snowflake architecture and features: Having a deep understanding of Snowflake's capabilities and how it integrates with other systems. Experience with SQL and data warehousing: Being proficient in SQL and understanding the principles of data warehousing. Knowledge of cloud computing: Having experience with cloud platforms like AWS, Azure, and Google Cloud. Understanding of data management principles: Understanding data loading, transformation, and extraction processes, as well as data retention and security. Soft Skills: Communication: Excellent written and verbal communication skills. Collaboration: Ability to work effectively with cross-functional teams. Problem-solving: Strong analytical and problem-solving skills. Leadership: Ability to lead and motivate teams. Organizational skills: Being highly organized and able to manage multiple projects simultaneously. Mandatory Skill Sets Snowflake, SQL, Python Preferred Skill Sets Snowflake, SQL, Python Years Of Experience Required 6-10 years Education Qualification BE/BTECH, ME/MTECH, MBA, MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology, MBA (Master of Business Administration) Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Snowflake (Platform) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Design and develop data pipelines using Databricks and PySpark to ingest, process, and transform large volumes of data. Implement ETL/ELT workflows to move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using cloud-native tools. Work with structured and unstructured data stored in AWS or Azure Data Lakes. Apply strong SQL and Python skills to manipulate and analyze data efficiently. Collaborate with cross-functional teams to deliver cloud-based serverless data solutions. Design innovative data solutions that address complex business requirements and support data-driven decision-making. Maintain documentation and enforce best practices for data architecture, governance, and performance optimization. Mandatory Skill Sets Databricks, PySpark, and SQL on any cloud platform (AWS or Azure). Preferred Skill Sets ETL,Pyspark Years of experience required: 4 to 10 Years Education Qualification Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor Degree Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills PySpark Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities Leadership and Team Management: Leading teams: A Snowflake Manager often leads a team of developers, engineers, or other professionals involved in Snowflake implementation and management. Motivating and developing team members: This includes providing guidance, coaching, and opportunities for growth within the Snowflake ecosystem. Building a high-performing team: This involves attracting, hiring, and retaining top talent, and fostering a positive work environment. Driving Business Results: Achieving revenue targets: In sales-related roles, a Snowflake Manager will focus on driving pipeline generation, closing deals, and exceeding sales goals. Improving customer satisfaction: Ensuring customers are satisfied with Snowflake solutions and are receiving the support they need. Optimizing Snowflake usage: Helping organizations get the most value from their Snowflake investments. Managing Projects and Snowflake Deployments: Project planning and execution: Managing all aspects of Snowflake implementation projects, from scoping to launch. Coordinating with cross-functional teams:Working with other departments, such as engineering, data science, and marketing, to ensure successful Snowflake deployments. Monitoring and maintaining Snowflake infrastructure: Ensuring Snowflake is running efficiently and securely. Troubleshooting and resolving issues:Addressing any problems that arise with Snowflake. Technical Skills and Expertise: Understanding Snowflake architecture and features: Having a deep understanding of Snowflake's capabilities and how it integrates with other systems. Experience with SQL and data warehousing: Being proficient in SQL and understanding the principles of data warehousing. Knowledge of cloud computing: Having experience with cloud platforms like AWS, Azure, and Google Cloud. Understanding of data management principles: Understanding data loading, transformation, and extraction processes, as well as data retention and security. Soft Skills: Communication: Excellent written and verbal communication skills. Collaboration: Ability to work effectively with cross-functional teams. Problem-solving: Strong analytical and problem-solving skills. Leadership: Ability to lead and motivate teams. Organizational skills: Being highly organized and able to manage multiple projects simultaneously. Mandatory Skill Sets Snowflake, SQL, Python Preferred Skill Sets Snowflake, SQL, Python Years Of Experience Required 6-10 years Education Qualification BE/BTECH, ME/MTECH, MBA, MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Snowflake (Platform) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Design and develop data pipelines using Databricks and PySpark to ingest, process, and transform large volumes of data. Implement ETL/ELT workflows to move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using cloud-native tools. Work with structured and unstructured data stored in AWS or Azure Data Lakes. Apply strong SQL and Python skills to manipulate and analyze data efficiently. Collaborate with cross-functional teams to deliver cloud-based serverless data solutions. Design innovative data solutions that address complex business requirements and support data-driven decision-making. Maintain documentation and enforce best practices for data architecture, governance, and performance optimization. Mandatory Skill Sets Databricks, PySpark, and SQL on any cloud platform (AWS or Azure). Preferred Skill Sets ETL,Pyspark Years of experience required: 4 to 10 Years Education Qualification Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor Degree Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills PySpark Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Design and develop data pipelines using Databricks and PySpark to ingest, process, and transform large volumes of data. Implement ETL/ELT workflows to move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using cloud-native tools. Work with structured and unstructured data stored in AWS or Azure Data Lakes. Apply strong SQL and Python skills to manipulate and analyze data efficiently. Collaborate with cross-functional teams to deliver cloud-based serverless data solutions. Design innovative data solutions that address complex business requirements and support data-driven decision-making. Maintain documentation and enforce best practices for data architecture, governance, and performance optimization. Mandatory Skill Sets Databricks, PySpark, and SQL on any cloud platform (AWS or Azure). Preferred Skill Sets ETL,Pyspark Years of experience required: 4 to 10 Years Education Qualification Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor Degree Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills PySpark Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within…. Responsibilities Frontend Development: Build dynamic, responsive interfaces using React.js, Next.js, and Tailwind CSS. Backend Development: Design and implement scalable APIs using FastAPI, Node.js, and Express.js. LLM Integration: Integrate APIs from GPT-4o (Azure), Claude, LLaMA, or open-source models using Ollama or Hugging Face. Agent Workflow Design: Develop multi-agent logic using LangGraph, Semantic Kernel, or AutoGen for intelligent task execution. RAG Implementation: Build Retrieval-Augmented Generation pipelines with Qdrant, ChromaDB, or Azure AI Search. Embedding & Vector Management: Generate and manage embeddings from unstructured data (text, PDFs, charts, etc.). Fine-Tuning: Set up LoRA/QLoRA pipelines to fine-tune LLMs on proprietary data using Azure ML or Hugging Face Transformers. Prompt Engineering: Design, test, and optimize prompts with tools like Promptfoo, OpenEval, or DeepEval. Testing Automation: Implement test suites using PyTest, Postman, Playwright, and prompt validation tools. Deployment & Scaling: Deploy AI microservices using Docker, Azure App Services, or AKS; ensure system scalability. CI/CD & Infra-as-Code: Build CI/CD pipelines via GitHub Actions or Azure DevOps; manage infra using Terraform. Monitoring & Observability: Ensure uptime and performance through Grafana, OpenTelemetry, and production monitoring best practices. Skill sets required: Strong understanding of the .NET Framework, .NET Core; proficiency in C# Familiarity with Web API development and RESTful services Experience with Entity Framework or ADO.NET for data access Strong skills in SQL; ability to design and optimize queries and work with databases like SQL Server 5–6 years of full-stack development experience (React.js + Node.js/FastAPI) Strong understanding of GenAI tools, LLM APIs, and model pipelines Proficiency in deploying and monitoring AI applications in Azure cloud Experience with RAG systems, vector DBs (Qdrant, Chroma), and embeddings Solid foundation in prompt engineering, testing, and evaluation techniques Hands-on experience with CI/CD, Docker, and observability stacksUnderstanding of common design patterns and best practices in software architecture Exposure to Agile methodology Certifications/Credentials Microsoft Certified: Azure AI Engineer Associate (AI-102) AZ-204: Azure Developer Associate Mandatory Skill Sets NodeJS/React and LLM Preferred Skill Sets Hands-on experience with CI/CD, Docker, and observability stacksUnderstanding of common design patterns and best practices in software architecture Years Of Experience Required 3-6 Years Education Qualification B.E./B.Tech/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Node.js, React.js Optional Skills Docker (Software) Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Design and develop data pipelines using Databricks and PySpark to ingest, process, and transform large volumes of data. Implement ETL/ELT workflows to move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using cloud-native tools. Work with structured and unstructured data stored in AWS or Azure Data Lakes. Apply strong SQL and Python skills to manipulate and analyze data efficiently. Collaborate with cross-functional teams to deliver cloud-based serverless data solutions. Design innovative data solutions that address complex business requirements and support data-driven decision-making. Maintain documentation and enforce best practices for data architecture, governance, and performance optimization. Mandatory Skill Sets Databricks, PySpark, and SQL on any cloud platform (AWS or Azure). Preferred Skill Sets ETL,Pyspark Years of experience required: 4 to 10 Years Education Qualification Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor Degree Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills PySpark Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities Leadership and Team Management: Leading teams: A Snowflake Manager often leads a team of developers, engineers, or other professionals involved in Snowflake implementation and management. Motivating and developing team members: This includes providing guidance, coaching, and opportunities for growth within the Snowflake ecosystem. Building a high-performing team: This involves attracting, hiring, and retaining top talent, and fostering a positive work environment. Driving Business Results: Achieving revenue targets: In sales-related roles, a Snowflake Manager will focus on driving pipeline generation, closing deals, and exceeding sales goals. Improving customer satisfaction: Ensuring customers are satisfied with Snowflake solutions and are receiving the support they need. Optimizing Snowflake usage: Helping organizations get the most value from their Snowflake investments. Managing Projects and Snowflake Deployments: Project planning and execution: Managing all aspects of Snowflake implementation projects, from scoping to launch. Coordinating with cross-functional teams:Working with other departments, such as engineering, data science, and marketing, to ensure successful Snowflake deployments. Monitoring and maintaining Snowflake infrastructure: Ensuring Snowflake is running efficiently and securely. Troubleshooting and resolving issues:Addressing any problems that arise with Snowflake. Technical Skills and Expertise: Understanding Snowflake architecture and features: Having a deep understanding of Snowflake's capabilities and how it integrates with other systems. Experience with SQL and data warehousing: Being proficient in SQL and understanding the principles of data warehousing. Knowledge of cloud computing: Having experience with cloud platforms like AWS, Azure, and Google Cloud. Understanding of data management principles: Understanding data loading, transformation, and extraction processes, as well as data retention and security. Soft Skills: Communication: Excellent written and verbal communication skills. Collaboration: Ability to work effectively with cross-functional teams. Problem-solving: Strong analytical and problem-solving skills. Leadership: Ability to lead and motivate teams. Organizational skills: Being highly organized and able to manage multiple projects simultaneously. Mandatory Skill Sets Snowflake, SQL, Python Preferred Skill Sets Snowflake, SQL, Python Years Of Experience Required 6-10 years Education Qualification BE/BTECH, ME/MTECH, MBA, MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology, MBA (Master of Business Administration) Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Snowflake (Platform) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: - A career in our Aptech MS Engg team will provide the opportunity to help our clients transform their technology landscape across Front, Back and Mid-Office function. We focus on contributing to PwC’s value proposition of “strategy led, and technology enabled”, by aligning our Consulting Solutions’ industry focus with the App Tech Engg technologies such as 365, Azure, Power Platform and Power BI. We Are Looking For Experienced Software Developers With Strong analytical and problem-solving abilities Willingness and to learn new technologies and adapt to changing project requirements Ability to prioritize tasks and manage time effectively to meet deadlines Good verbal and written communication skills Ability to work collaboratively in a team setting Responsibilities Write clean, scalable, and efficient code to develop and maintain enterprise applications, implementing features based on business requirements Participate and contribute towards the design and architecture discussions, document application design, code, and processes clearly Perform unit testing and integration testing to ensure the quality and functionality of the software; debug and resolve issues and bugs in applications Participate in peer reviews and provide constructive feedback Participate in continuous integration and deployment processes Collaborate with senior developers and architects to ensure best practices and design patterns are followed Work closely with other team members, including project leads, business analysts and QA testers Provide regular updates on progress and issues to project managers and stakeholders Required Skills & Knowledge Strong understanding of the .NET Framework, .NET Core; proficiency in C# Familiarity with Web API development and RESTful services Experience with Entity Framework or ADO.NET for data access Strong skills in SQL; ability to design and optimize queries and work with databases like SQL Server Knowledge of HTML, CSS, and JavaScript Experience with front-end frameworks like Angular, React, or Vue.js Experience with version control systems, particularly Git Familiarity with unit testing frameworks such as MSTest, NUnit, or xUnit Understanding of common design patterns and best practices in software architecture Experience with CI/CD tools and pipelines Exposure to Agile methodology Certifications/Credentials AZ-900: Azure Fundamentals AZ-204: Azure Developer Associate Mandatory Skills: .Net Core, Angular/React, C#, AZ-900: Azure Fundamentals/AZ-204: Azure Developer Associate Preferred Skills: .Net Core, Angular/React, C#, AZ-900: Azure Fundamentals/AZ-204: Azure Developer Associate Years of experience required: 4 to 7 Years Education qualification: B.Tech/B.E./MCA/MBA/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology, MBA (Master of Business Administration) Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Microsoft .NET Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Creativity {+ 46 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: - A career in our Aptech MS Engg team will provide the opportunity to help our clients transform their technology landscape across Front, Back and Mid-Office function. We focus on contributing to PwC’s value proposition of “strategy led, and technology enabled”, by aligning our Consulting Solutions’ industry focus with the App Tech Engg technologies such as 365, Azure, Power Platform and Power BI. We Are Looking For Experienced Software Developers With Strong analytical and problem-solving abilities Willingness and to learn new technologies and adapt to changing project requirements Ability to prioritize tasks and manage time effectively to meet deadlines Good verbal and written communication skills Ability to work collaboratively in a team setting Responsibilities Write clean, scalable, and efficient code to develop and maintain enterprise applications, implementing features based on business requirements Participate and contribute towards the design and architecture discussions, document application design, code, and processes clearly Perform unit testing and integration testing to ensure the quality and functionality of the software; debug and resolve issues and bugs in applications Participate in peer reviews and provide constructive feedback Participate in continuous integration and deployment processes Collaborate with senior developers and architects to ensure best practices and design patterns are followed Work closely with other team members, including project leads, business analysts and QA testers Provide regular updates on progress and issues to project managers and stakeholders Required Skills & Knowledge Strong understanding of the .NET Framework, .NET Core; proficiency in C# Familiarity with Web API development and RESTful services Experience with Entity Framework or ADO.NET for data access Strong skills in SQL; ability to design and optimize queries and work with databases like SQL Server Knowledge of HTML, CSS, and JavaScript Experience with front-end frameworks like Angular, React, or Vue.js Experience with version control systems, particularly Git Familiarity with unit testing frameworks such as MSTest, NUnit, or xUnit Understanding of common design patterns and best practices in software architecture Experience with CI/CD tools and pipelines Exposure to Agile methodology Certifications/Credentials AZ-900: Azure Fundamentals AZ-204: Azure Developer Associate Mandatory Skill sets: .Net Core, Angular/React, C#, AZ-900: Azure Fundamentals/AZ-204: Azure Developer Associate Preferred Skill sets: .Net Core, Angular/React, C#, AZ-900: Azure Fundamentals/AZ-204: Azure Developer Associate Years of experience required: 4 to 7 Years Education qualification: B.Tech/B.E./MCA/MBA/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Microsoft .NET Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Creativity {+ 46 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: - A career in our Aptech MS Engg team will provide the opportunity to help our clients transform their technology landscape across Front, Back and Mid-Office function. We focus on contributing to PwC’s value proposition of “strategy led, and technology enabled”, by aligning our Consulting Solutions’ industry focus with the App Tech Engg technologies such as 365, Azure, Power Platform and Power BI. We Are Looking For Experienced Software Developers With Strong analytical and problem-solving abilities Willingness and to learn new technologies and adapt to changing project requirements Ability to prioritize tasks and manage time effectively to meet deadlines Good verbal and written communication skills Ability to work collaboratively in a team setting Responsibilities Write clean, scalable, and efficient code to develop and maintain enterprise applications, implementing features based on business requirements Participate and contribute towards the design and architecture discussions, document application design, code, and processes clearly Perform unit testing and integration testing to ensure the quality and functionality of the software; debug and resolve issues and bugs in applications Participate in peer reviews and provide constructive feedback Participate in continuous integration and deployment processes Collaborate with senior developers and architects to ensure best practices and design patterns are followed Work closely with other team members, including project leads, business analysts and QA testers Provide regular updates on progress and issues to project managers and stakeholders Required Skills & Knowledge Strong understanding of the .NET Framework, .NET Core; proficiency in C# Familiarity with Web API development and RESTful services Experience with Entity Framework or ADO.NET for data access Strong skills in SQL; ability to design and optimize queries and work with databases like SQL Server Knowledge of HTML, CSS, and JavaScript Experience with front-end frameworks like Angular, React, or Vue.js Experience with version control systems, particularly Git Familiarity with unit testing frameworks such as MSTest, NUnit, or xUnit Understanding of common design patterns and best practices in software architecture Experience with CI/CD tools and pipelines Exposure to Agile methodology Certifications/Credentials AZ-900: Azure Fundamentals AZ-204: Azure Developer Associate Mandatory Skill sets: .Net Core, Angular/React, C#, AZ-900: Azure Fundamentals/AZ-204: Azure Developer Associate Preferred Skill sets: .Net Core, Angular/React, C#, AZ-900: Azure Fundamentals/AZ-204: Azure Developer Associate Years of experience required: 4 to 7 Years Education qualification: B.Tech/B.E./MCA/MBA/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology, MBA (Master of Business Administration) Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Microsoft .NET Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Creativity {+ 46 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Design and develop data pipelines using Databricks and PySpark to ingest, process, and transform large volumes of data. Implement ETL/ELT workflows to move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using cloud-native tools. Work with structured and unstructured data stored in AWS or Azure Data Lakes. Apply strong SQL and Python skills to manipulate and analyze data efficiently. Collaborate with cross-functional teams to deliver cloud-based serverless data solutions. Design innovative data solutions that address complex business requirements and support data-driven decision-making. Maintain documentation and enforce best practices for data architecture, governance, and performance optimization. Mandatory Skill Sets Databricks, PySpark, and SQL on any cloud platform (AWS or Azure). Preferred Skill Sets ETL,Pyspark Years of experience required: 4 to 10 Years Education Qualification Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor Degree Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills PySpark Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Design and develop data pipelines using Databricks and PySpark to ingest, process, and transform large volumes of data. Implement ETL/ELT workflows to move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using cloud-native tools. Work with structured and unstructured data stored in AWS or Azure Data Lakes. Apply strong SQL and Python skills to manipulate and analyze data efficiently. Collaborate with cross-functional teams to deliver cloud-based serverless data solutions. Design innovative data solutions that address complex business requirements and support data-driven decision-making. Maintain documentation and enforce best practices for data architecture, governance, and performance optimization. Mandatory Skill Sets Databricks, PySpark, and SQL on any cloud platform (AWS or Azure). Preferred Skill Sets ETL,Pyspark Years of experience required: 4 to 10 Years Education Qualification Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor Degree Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills PySpark Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Managed Services Management Level Specialist Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In business analysis at PwC, you will focus on analysing and interpreting data to provide strategic insights and recommendations for improving business performance. Your work will involve strong analytical skills and the ability to effectively communicate findings to stakeholders. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 157 countries with more than 300,000 people who are committed to delivering quality in Assurance, Advisory and Tax services. Within Advisory, PwC has a large team that focus on transformation in Government through Digital inclusion. The open position is for a candidate who desires to work with government clients and bring about a change in society. A successful candidate will be expected to work pro-actively and effectively on multiple client engagements over the period of time and take ownership of the entire project delivery he/she entrusted with. Responsibilities Lead the cloud strategy, design and implementation roadmap for complex government IT infrastructure projects. Design highly available, scalable, secure and cost-effective cloud architectures in alignment with MeitY guidelines, CERT-In advisories and data residency norms. Collaborate with cross-functional teams to assess existing IT landscapes and define cloud adoption or migration plans (private/public/hybrid/multi-cloud). Define target architecture including compute, storage, network, security, backup, DR and monitoring. Prepare technical documentation including architecture blueprints, solution design documents, SOPs and deployment guides. Ensure compliance with applicable government regulations, security standards and cloud best practices. Provide technical leadership during cloud PoCs, RFP evaluations, implementation and handover. Evaluate and recommend cloud service providers (CSPs) and third-party tools for orchestration, automation, monitoring and governance. Support capacity planning, cost optimization and performance tuning of cloud environments. Liaise with stakeholders from and other technology vendors. Mandatory skill sets: Expertise in designing and deploying solutions on AWS, Microsoft Azure, or Google Cloud Platform. Strong understanding of cloud architecture patterns, microservices, containers (Docker, Kubernetes) and APIs. Experience with cloud security principles, identity and access management (IAM), network security, encryption and compliance. Deep understanding of IaaS, PaaS and SaaS delivery models and hybrid cloud setups. Proven experience in cloud migration of enterprise or legacy systems. Familiarity with Indian government IT infrastructure norms, MeitY cloud guidelines (GI Cloud/MeghRaj) and data localization policies. Ability to drive discussions with C-level stakeholders and translate business requirements into technical solutions. Preferred skill sets: Cloud certifications: AWS Certified Solutions Architect (Professional), Microsoft Certified Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect. Experience in DevOps practices, CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation, ARM templates). Exposure to data center modernization, virtualization (VMware, Hyper-V) and enterprise network architectures. Understanding of OpenStack, private cloud implementations and cloud management platforms. Prior experience working on e-Governance, Smart Cities, Digital India, or mission-mode government projects. Strong technical writing, proposal development and client presentation skills. Years of experience required: 8 to 12 years of total IT experience, with at least 5 years in cloud architecture or infrastructure design roles. Education qualification: Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, or equivalent. Additional certifications in cloud platforms, IT architecture, or project management (TOGAF, PMP) are an added advantage. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Business Technology Consulting Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Administration, Business Analysis, Business Case Development, Business Data Analytics, Business Process Analysis, Business Process Modeling, Business Process Re-Engineering (BPR), Business Requirements Analysis, Business Systems, Communication, Competitive Analysis, Emotional Regulation, Empathy, Feasibility Studies, Functional Specification, Inclusion, Intellectual Curiosity, IT Project Lifecycle, Market Trends, Optimism, Process Improvement, Process Mapping {+ 14 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: The primary purpose of this role is to translate business requirements and functional specifications into logical program designs and to deliver dashboards, schema, data pipelines, and software solutions. Design, develop, and maintain scalable data pipelines to process and transform large volumes of structured and unstructured data. Build and maintain ETL/ELT workflows for data ingestion from various sources (APIs, databases, files, cloud). Ensure data quality, integrity, and governance across the pipeline. This includes developing, configuring, or modifying data components within various complex business and/or enterprise application solutions in various computing environments. Responsibilities We are currently seeking Sr data engineer, who can perform data integration to build custom data pipeline, manage data transformation, Performance optimization, Automation, Data Governance & data quality. Mandatory Skill Sets ‘Must have’ knowledge, skills and experiences GCP – Dataproc- Pyspark, SparkSQL, Dataflow- Apache beam, Cloud composer, Bigquery, API Management Preferred Skill Sets ‘Good to have’ knowledge, skills and experiences Experience in building data pipelines Experience in Software lifecycle tools for CI/CD and version control system such as GIT Familiarity with Agile methodologies is a plus. Years Of Experience Required Experience and Qualifications Experience - 4 Years to 12 years NP - Immediate to 30 days Location - Hyderabad 3 days / week work from client office Education Qualification BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering, Master of Business Administration, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Internal Firm Services Industry/Sector Not Applicable Specialism Operations Management Level Associate Job Description & Summary At PwC, our people in people strategy focus on developing and implementing long-term strategies to align the organisation's human capital with its overall business objectives. This involves analysing workforce trends, applying the latest HR strategy, long-term workforce planning and improving overall employee experience. In business partnering at PwC, you will focus on strategic consulting with business stakeholders, advising on people strategies, policies and programmes to achieve current and future business objectives and overcome people related challenges. You will work collaboratively with the wider HR team to shape the Firm’s people strategy and priorities based on their understanding of the business as well as influence the business alignment with and adoption of firmwide direction. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above Job Description & Summary: A career in Human Resources, within Internal Firm Services, will provide you with the opportunity to make a difference at PwC by helping to fully leverage the skills and talents of all our people. You’ll focus on helping the local offices in driving the Firm’s people strategy, creating a unique people experience for each individual, and supporting our Firm wide values by working with the core competencies that measure and drive individual and Firm wide success in the marketplace. Our team helps bridge the relationship between leadership and employees at PwC through Human Resources solutions. You’ll handle issues on operation management, strategic partnership, employee relations and emergency responding. Responsibilities Collaborate with BU / HC leadership to act on the changing needs and priorities of business and develop an appropriate HR strategy to meet business objectives Proactively discuss and propose new HR initiatives, policies, and processes to the Competency leaders in consultation with the BU HC leader and the HC sub teams Identify critical positions for the Competency to develop succession-plans for the same Deploy the Performance management agenda for respective BU including setting performance goals, administering appraisal process, appraisal results, handle employee queries etc. and contribute towards maintaining a performance driven culture Provide advice and recommendations to business on employee performance plan including measures, desired results, and standards Lead the year end moderation discussions for employee appraisal process to ensure the reviews are conducted in a nondiscriminatory manner and the employee rating and promotions are fair Programs manage the annual compensation review for the Sub SBU (Competency) in collaboration with the Total Rewards CoE and ensure that implementation of a cohesive market driven compensation philosophy Guide and coach managers on conducting performance coaching discussions for their subordinates and ensure consistency in the performance process within location/ SBU wise Implement and roll out process/ policies/ plans and initiatives whilst managing and promoting them with the support of the Competency leader and HC sub- teams Implement and execute special HC projects within the business in conjunction with the business leader Manage exit interviews and support the business in analyzing the data and provide innovative solutions to improve retention rates Manage sensitive employee relation cases in compliance to stipulated procedure outlined by OGC Mandatory Skill Sets Performance management, grievance handling, employee engagement, end to end employee life cycle Preferred Skill Sets Human resource, one on one connects, resource management, attrition & exit management Years Of Experience Required 4+ years Education Qualification B.Com, BBA, MBA, PGDM, M.Com Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor in Business Administration, Bachelor of Commerce Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Performance Measurement Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Partnering, Business Transformation, Career Development, Change Management, Co-Creation, Communication, Data Analytics, Data-Driven Decision Making (DIDM), Data-Driven Insights, Emotional Regulation, Empathy, Employee Experience, Employee Life Cycle, Executive Negotiation, Human Capital Initiatives, Human Resources (HR) Coaching, Human Resources (HR) Metrics, Human Resources (HR) Policies, Human Resources (HR) Service Delivery, Human Resources (HR) Technology Roadmap, Human Resources (HR) Technology Solution Architecture, Human Resources (HR) Transformation {+ 22 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Internal Firm Services Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in business services and support focus on providing efficient and effective administrative support to enable smooth operations within the organisation. This includes managing schedules, coordinating meetings, and handling confidential information. Those in meetings and event services at PwC will focus on coordinating and managing internal and external meetings, conferences, and events within PwC. Your work will involve providing administration which enables the successful planning, execution, and logistics of various types of gatherings, including team meetings, training sessions, workshops, and corporate events. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career in Infrastructure and Property, within Internal Firm Services, will provide you with the opportunity to be a part of developing and managing the PwC operational infrastructure that allows us to support our people and our clients. We focus on all aspects of internal infrastructure services from real estate site selection, facilities management, and physical security to managing relationships with Firm travel partners and event planning. Our Facilities Management team is responsible for developing, implementing, and overseeing a planned facility management programme that enables all aspects of PwC office space to be maintained at a standard that adheres with current local, state, and federal regulations. You’ll help provide a safe, clean and functional environment by ensuring the quality of mechanical operating systems, interior structures, assets, and life safety systems for all staff. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities Events – Good connect / network with hotels and banquet teams in respective cities Should have basic knowledge of vendor PO/ payments/ reconciliation etc. Client Handling and Showcasing high standards of service delivery Flexible to take back-to-back events during peak time Good MIS / IT skills Willing to travel to accompany the group to provide end to end support Basic Business Etiquette Strong communication and interpersonal skills Willing to travel for events if required Should be available during the events (major ones) from Start to close Work on the Audit requirements (Internal & External) Assist in the planning and implementation of events, including venue selection, vendor management, and logistics coordination. Collaborate with internal teams and external stakeholders to ensure all event requirements are met and objectives are achieved. Manage event budgets, track expenses, and negotiate contracts with vendors to optimize costs. Coordinate event logistics, including transportation, accommodations, catering, audiovisual equipment, and other onsite arrangements. Provide on-site support during events, overseeing setup, registration, attendee engagement, and troubleshooting as needed. Conduct post-event evaluations and analysis to assess event success, gather feedback, and identify areas for improvement. Stay updated on industry trends, best practices, and emerging technologies to enhance event planning and execution processes. Business Services – Role Purpose To assist the Business Services lead of PwC Chennai office on facilities management and business services functions across all PwC Chennai premises To maintain and enhance the working environments for staff, clients and visitors ensuring the highest levels of safety and productivity To provide quality property and administrative solutions which meet business requirements. To manage and provide a high quality, efficient and integrated security service in line with PwC standards in order to allow PwC Chennai programmes and services to operate safely and securely. Challenges & Accountabilities Operational FM service delivery Monitor and deliver specific FM services in accordance with agreed Service Level Agreements (SLAs) so as to meet customer needs and operational requirements at PwC Chennai offices. Provide specific technical advice on premises and facilities matters to senior management, including developing appropriate, costed business cases Manage and coordinate logistics related to international staff movements to include travel, and housing, amongst others Contracted building management Liaise and work closely with relevant appointed supply partners to manage the mechanical and electrical services installation to include air conditioning, plumbing, generators and water supplies, transformers, fire, physical security and other related hard services to ensure that these are kept in good working order, meet the operating requirements of the PwC Chennai business. Liaise and work closely with relevant appointed supply partners to manage catering, cleaning, international couriers, grounds maintenance and other related customer services, so as to meet business needs and expectations, meet the operating requirements of the PwC Chennai business. Business relationship management Implement monthly meetings with stakeholders, to gather, respond and act on user feedback on FM services. Provide accurate, up-to-date and timely information on any changes or developments to Resources services or Business Services policies to stakeholders. Financial planning and management Preparation of annual budget plans and forecasts for PwC Chennai expenditure to meet organizational planning requirements. Assist the Business Services Lead of PwC Chennai office with the regular monitoring and reporting of expenditure against plan via monthly report including accounting for any variations against plan. Organize Meetings And Events Organize and coordinate meetings, conferences, and events. The person will be responsible for booking venues, arranging catering, and ensuring that all attendees have the necessary information and materials. Data & record keeping Maintain documentation of FM policies, procedures and guidance so that this is up-to-date, appropriate and readily available to customers and stakeholders of the FM services, and compliant with any relevant requirements for keeping of statutory records. Responsible to maintain and update databases, records, and filing systems. They will ensure that all information is accurate and up-to-date, and that files are organized and easy to access. Mandatory Skill Sets Facility management Event management Event Planning Preferred Skill Sets Event organizer, Logistics Management Years Of Experience Required 6+ years Education Qualification BBA, MBA, B.Com, M.Com, PGDM Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor in Business Administration, Bachelor of Commerce Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Onsite Event Management Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Audio Visual Services, Budget Analysis, Communication, Communications Management, Creativity, Customer Experience (CX) Strategy, Embracing Change, Emotional Regulation, Empathy, Event Assistant, Event Budgeting, Event Coordination, Event Management, Event Planning, Event Reporting, Event Technology, Event Website Design, Hospitality Management, Inclusion, Intellectual Curiosity, Learning Agility {+ 20 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Requirement gathering and analysis Experience with different databases like Synapse, SQL DB, Snowflake etc. Design and implement data pipelines using Azure Data Factory, Databricks, Synapse Create and manage Azure SQL Data Warehouses and Azure Cosmos DB databases Extract, transform, and load (ETL) data from various sources into Azure Data Lake Storage Implement data security and governance measures Monitor and optimize data pipelines for performance and efficiency Troubleshoot and resolve data engineering issues Provide optimized solution for any problem related to data engineering Ability to work with a variety of sources like Relational DB, API, File System, Realtime streams, CDC etc. Strong knowledge on Databricks, Delta tables Mandatory Skill Sets Azure Databricks, ADF, or Synapse Analytics, Python Preferred Skill Sets Experienced in Delta Lake, Power BI, or Azure DevOps. Knowledge of Spark, Scala, or other distributed processing frameworks. Exposure to BI tools like Power BI, Tableau, or Looker. Familiarity with data security and compliance in the cloud. Experience in leading a development team. Years Of Experience Required 4 – 7 yrs Education Qualification B.tech/MBA or MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Microsoft Azure Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date