6401 Pwc Jobs - Page 11

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 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: Bachelor Degree, Master 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 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: Bachelor Degree, Master 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 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 Operations 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. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. 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. Role Overview The Agentic Automation Engineer will develop and implement intelligent automation solutions using agentic frameworks like LangGraph, AutoGen, and CrewAI, integrating generative AI and Retrieval-Augmented Generation (RAG) techniques. This role requires deep expertise in Python, generative AI, and both open-source and closed-source LLMs, along with proficiency in databases and modern automation tools. The ideal candidate will collaborate with cross-functional teams to deliver scalable, high-impact automation workflows that enhance business processes. Key Responsibilities Design and develop agentic automation workflows using frameworks such as LangGraph, AutoGen, CrewAI, and other multi-agent systems (e.g., MCP, A2A) to automate complex business processes. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual understanding and accurate response generation in automation tasks. Integrate open-source LLMs (e.g. LLaMA) and closed-source LLMs (e.g., OpenAI, Gemini, Vertex AI) to power agentic systems and generative AI applications. Develop robust Python-based solutions using libraries like LangChain, Transformers, Pandas, and PyTorch for automation and AI model development. Implement and manage CI/CD pipelines, Git workflows, and software development best practices to ensure seamless deployment of automation solutions. Work with structured and unstructured data, applying prompt engineering and fine-tuning techniques to enhance LLM performance for specific use cases. Query and manage databases (e.g., SQL, NoSQL) for data extraction, transformation, and integration into automation workflows. Collaborate with stakeholders to translate technical solutions into business value, delivering clear presentations and documentation. Stay updated on advancements in agentic automation, generative AI, and LLM technologies to drive innovation and maintain competitive edge. Ensure scalability, security, and performance of deployed automation solutions in production environments. Required Qualifications And Skills Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience: 5+ years of hands-on experience in AI/ML, generative AI, or automation development. Proven expertise in agentic frameworks like LangGraph, AutoGen, CrewAI, and multi-agent systems. Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications. Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI, Gemini, Vertex AI). Technical Skills: Advanced proficiency in Python and relevant libraries (LangChain, Transformers, Pandas, PyTorch, Scikit-learn). Strong SQL skills for querying and managing databases (e.g., PostgreSQL, MongoDB). Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), Git workflows, and containerization (e.g., Docker, Kubernetes). Experience with Linux (Ubuntu) and cloud platforms (AWS, Azure, Google Cloud) for deploying automation solutions. Knowledge of automation tools (e.g., UiPath, Automation Anywhere) and workflow orchestration platforms. Soft Skills: Exceptional communication skills to articulate technical concepts to non-technical stakeholders. Strong problem-solving and analytical skills to address complex automation challenges. Ability to work collaboratively in a fast-paced, client-facing environment. Proactive mindset with a passion for adopting emerging technologies. Preferred Qualifications Experience with multi-agent coordination protocols (MCP) and agent-to-agent (A2A) communication systems. Familiarity with advanced generative AI techniques, such as prompt chaining, tool-augmented LLMs, and model distillation. Exposure to enterprise-grade automation platforms or intelligent process automation (IPA) solutions. Contributions to open-source AI/automation projects or publications in relevant domains. Certification in AI, cloud platforms, or automation technologies (e.g., AWS Certified AI Practitioner, RPA Developer). Mandatory Skill Set Python, Agentic AI , LLM Preferred Skill Set Gen AI Years Of Experience 2 to 7 Years Education Qualification B.Tech/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Generative AI, Large Language Model (LLM) Fine-Tuning, Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM), Continuous Process Improvement, Data Analytics {+ 31 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: 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 Salesforce 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 Salesforce consulting generalist at PwC, you will possess a broad range of consulting skills and experience across various Salesforce applications. You will provide consulting services to clients, analysing their needs, implementing software solutions, and offering training and support for effective utilisation of Salesforce applications. Your versatile knowledge will allow you to assist clients in optimising operational efficiency and achieving their strategic objectives. 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 Customize and personalize Salesforce.com to fit environment's specific needs. Work on Sales Cloud, Service Cloud and marketing cloud. Administration Setup: User, Profile, Role hierarchy security setup, Validation Rules, Workflow Rules, Sharing Rules, Approval Processes, Process Builder. Development using Visual Force, Apex, Triggers, JavaScript, Lightning component. Develop and publish business specific reports & dashboards customised to client needs. Create Communities and user accounts for communities. Publish VisualForce pages to sites. Code optimization with respect to governor limits of Salesforce. Integration of Salesforce with Heroku, Tally, ServiceNow, ESL, POIM, UWS System using Soap and Rest API. Unit tests code coverage and deployments. Use Data Loader for data migration. Mandatory Skill Sets Development using Visual Force, Apex, API integration Certifications: SF PD1 / SF PD2 Preferred Skill Sets Certification: SalesForce Admin SalesForce App Builder Years Of Experience Required 4-6 Years Education qualification: B.Tech/B.E./MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Salesforce Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Application Software, Business Model Development, Business Process Modeling, Business Systems, Communication, Creativity, Developing Training Materials, Embracing Change, Emerging Technologies, Emotional Regulation, Empathy, Enterprise Integration, Enterprise Software, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Innovative Design, Intellectual Curiosity, IT Infrastructure, Learning Agility {+ 18 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 Risk Management Level Associate Job Description & Summary At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. As a cybersecurity generalist at PwC, you will focus on providing comprehensive security solutions and experience across various domains, maintaining the protection of client systems and data. You will apply a broad understanding of cybersecurity principles and practices to address diverse security challenges effectively. 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: Exciting Career Opportunity in Risk Consulting. Responsibilities Responsible to ensure timely delivery and quality of findings during the internal audit assignments Lead of Internal Audit / risk & controls / risk assessment engagements Coordination with all levels of stakeholders both client and internal. Establishing strong professional relationships with external clients and internal team members. Supporting the partners in driving select client relationships of the firm. Responsible for taking ownership of assignments / work allocated and being proactive for ensuring success of the assignment allocation Responsible for end-to-end delivery including supervising and reviewing engagement teams. Review the working papers of subordinates, ensure proactive and regular updates on the project to both internal and external stakeholders with an endeavor to create a no-surprise working culture Support in internal risk clearance activities, if any Collaborating with other service lines within the firm for internal opportunities. Mandatory Skill Sets Highly skilled in Project management Excellent in Internal Audit with sector experience – Retail/FMCG/Manufacturing. Meticulous and having eye for details. Quick learner and ability to work under minimum supervision Savvy/ hands-on in MS office – excel, power point etc. Preferred skill sets: Experience of working for clients across various sectors and solutions in audit and consulting firms Candidates should preferably have experience in working with the compliance / internal audit/risk management function/operations department Strong knowledge of processes and systems in their respective area of operations Should have the ability to multi-task and manage multiple projects Strong project management capabilities and experience in managing a team Strong interpersonal skills and well-spoken Solution oriented and smart working individual Strong problem-solving skills paired with the ability to develop creative and efficient solutions o Ability to manage client expectations through effective communication, technical knowledge, and responsiveness Ability to multitask effectively Ability to develop and build a client base High on integrity and a self-driven/proactive work attitude to deliver results within tight deadlines and in demanding situations Strong presentation and negotiation skills Excellent written, and verbal communication with presentation and team management skills Lead Internal Audit/ Process Audit concepts & methodology COSO Framework Processes, Sub-processes, and Activities as well as their relationship Sarbanes Oxley Act (SOX) Internal control concepts (e.g., Preventive Controls; Detective Controls; Anti-fraud Controls; etc.) Years Of Experience Required 1+ years Education Qualification CA with relevant post-qual experience of 1+ years MBA/ACCA or a bachelor’s degree with post-qual experience of 2+ Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills SoCs Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Azure Data Factory, Communication, Cybersecurity, Cybersecurity Framework, Cybersecurity Policy, Cybersecurity Requirements, Cybersecurity Strategy, Emotional Regulation, Empathy, Encryption Technologies, Inclusion, Intellectual Curiosity, Managed Services, Optimism, Privacy Compliance, Regulatory Response, Security Architecture, Security Compliance Management, Security Control, Security Incident Management, Security Monitoring {+ 3 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 FS X-Sector Specialism Risk Management Level Associate Job Description & Summary In-depth knowledge of application development processes and at least one programming and one scripting language (e.g., Java, Scala, C#, JavaScript, Angular, ReactJs, Ruby, Perl, Python, Shell). •Knowledge on OS security (Windows, Unix/Linux systems, Mac OS, VMware), network security and cloud security. *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: We are seeking a professional to join our Cybersecurity and Privacy services team, where you will have the opportunity to help clients implement effective cybersecurity programs that protect against threats. Responsibilities: L1 - Minimum 2 years of relevant experience in SOC/Incident Management/Incident Response /Threat Detection Engineering/ Vulnerability Management/ SOC platform management/ Automation/Asset Integration/ Threat Intel Management /Threat Hunting. L2 - Minimum 4 years of relevant experience in SOC/Incident Management/Incident Response /Threat Detection Engineering/Vulnerability Management/ SOC platform management/ Automation/ Asset Integration/ Threat Intel Management/Threat Hunting. · Round the clock threat monitoring & detection · Analysis of any suspicious, malicious, and abnormal behavior. · Alert triage, Initial assessment, incident validation, its severity & urgency · Prioritization of security alerts and creating Incidents as per SOPs. · Reporting & escalation to stakeholders · Post-incident Analysis · Consistent incident triage & recommendations using playbooks. · Develop & maintain incident management and incident response policies and procedures. · Preservation of security alerts and security incidents artefacts for forensic purpose. · Adherence to Service Level Agreements (SLA) and KPIs. · Reduction in Mean Time to Detection and Response (MTTD & MTTR). Mandatory skill sets: Certified SOC Analyst (EC-Council), Computer Hacking Forensic Investigator (EC-Council), Certified Ethical Hacker (EC-Council), CompTIA Security+, CompTIA CySA+ (Cybersecurity Analyst), GIAC Certified Incident Handler (GCIH) or equivalent. Product Certifications (Preferred): - Product Certifications on SOC Security Tools such as SIEM/Vulnerability Management/ DAM/UBA/ SOAR/NBA etc. Preferred skill sets: SOC - Splunk Years of experience required: 2-5 Years Education qualification: B.Tech/MCA/MBA with IT background/ Bachelor’s degree in Information Technology, Cybersecurity, Computer Science Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills SOC Operations Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Azure Data Factory, Communication, Cybersecurity, Cybersecurity Framework, Cybersecurity Policy, Cybersecurity Requirements, Cybersecurity Strategy, Emotional Regulation, Empathy, Encryption Technologies, Inclusion, Intellectual Curiosity, Managed Services, Optimism, Privacy Compliance, Regulatory Response, Security Architecture, Security Compliance Management, Security Control, Security Incident Management, Security Monitoring {+ 3 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 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 Job Accountabilities - Hands on Experience in Azure Data Components like ADF / Databricks / Azure SQL - Good Programming Logic Sense in SQL - Good PySpark knowledge for Azure Data Bricks - Data Lake and Data Warehouse Concept Understanding - Unit and Integration testing understanding - Good communication skill to express thoghts and interact with business users - Understanding of Data Security and Data Compliance - Agile Model Understanding - Project Documentation Understanding - Certification (Good to have) - Domain Knowledge Mandatory Skill Sets Azure DE, ADB, ADF, ADL Preferred Skill Sets Azure DE, ADB, ADF, ADL Years Of Experience Required 3 to 9 years Education Qualification Graduate Engineer or Management Graduate Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, 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

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. As a cybersecurity generalist at PwC, you will focus on providing comprehensive security solutions and experience across various domains, maintaining the protection of client systems and data. You will apply a broad understanding of cybersecurity principles and practices to address diverse security challenges effectively. 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: We are seeking a professional to join our Cybersecurity and Privacy services team, where you will have the opportunity to help clients implement effective cybersecurity programs that protect against threats. Job Position Title: Associate /Senior Associate Level_SOC_Skill_Managed Services_ Competency_Advisory LOS Ahmedabad Location Responsibilities L1 - Minimum 2 years of relevant experience in SOC/Incident Management/Incident Response /Threat Detection Engineering/ Vulnerability Management/ SOC platform management/ Automation/Asset Integration/ Threat Intel Management /Threat Hunting. L2 - Minimum 4 years of relevant experience in SOC/Incident Management/Incident Response /Threat Detection Engineering/Vulnerability Management/ SOC platform management/ Automation/ Asset Integration/ Threat Intel Management/Threat Hunting. Round the clock threat monitoring & detection Analysis of any suspicious, malicious, and abnormal behavior. Alert triage, Initial assessment, incident validation, its severity & urgency Prioritization of security alerts and creating Incidents as per SOPs. Reporting & escalation to stakeholders Post-incident Analysis Consistent incident triage & recommendations using playbooks. Develop & maintain incident management and incident response policies and procedures. Preservation of security alerts and security incidents artefacts for forensic purpose. Adherence to Service Level Agreements (SLA) and KPIs. Reduction in Mean Time to Detection and Response (MTTD & MTTR). Mandatory Skill Sets Certified SOC Analyst (EC-Council), Computer Hacking Forensic Investigator (EC-Council), Certified Ethical Hacker (EC-Council), CompTIA Security+, CompTIA CySA+ (Cybersecurity Analyst), GIAC Certified Incident Handler (GCIH) or equivalent. Product Certifications Product Certifications on SOC Security Tools such as SIEM/Vulnerability Management/ DAM/UBA/ SOAR/NBA etc. Preferred Skill Sets SOC - Splunk Years Of Experience Required 2-7 Years Education Qualification B.Tech/MCA/MBA with IT background/ Bachelor’s degree in Information Technology, Cybersecurity, Computer Science Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills SoCs Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Azure Data Factory, Communication, Cybersecurity, Cybersecurity Framework, Cybersecurity Policy, Cybersecurity Requirements, Cybersecurity Strategy, Emotional Regulation, Empathy, Encryption Technologies, Inclusion, Intellectual Curiosity, Managed Services, Optimism, Privacy Compliance, Regulatory Response, Security Architecture, Security Compliance Management, Security Control, Security Incident Management, Security Monitoring {+ 3 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 Risk Management Level Associate Job Description & Summary At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. As a cybersecurity generalist at PwC, you will focus on providing comprehensive security solutions and experience across various domains, maintaining the protection of client systems and data. You will apply a broad understanding of cybersecurity principles and practices to address diverse security challenges effectively. 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: We are seeking a professional to join our Cybersecurity and Privacy services team, where you will have the opportunity to help clients implement effective cybersecurity programs that protect against threats. Job Position Title: Associate /Senior Associate Level_SOC_Skill_Managed Services_ Competency_Advisory LOS Ahmedabad Location Responsibilities L1 - Minimum 2 years of relevant experience in SOC/Incident Management/Incident Response /Threat Detection Engineering/ Vulnerability Management/ SOC platform management/ Automation/Asset Integration/ Threat Intel Management /Threat Hunting. L2 - Minimum 4 years of relevant experience in SOC/Incident Management/Incident Response /Threat Detection Engineering/Vulnerability Management/ SOC platform management/ Automation/ Asset Integration/ Threat Intel Management/Threat Hunting. Round the clock threat monitoring & detection Analysis of any suspicious, malicious, and abnormal behavior. Alert triage, Initial assessment, incident validation, its severity & urgency Prioritization of security alerts and creating Incidents as per SOPs. Reporting & escalation to stakeholders Post-incident Analysis Consistent incident triage & recommendations using playbooks. Develop & maintain incident management and incident response policies and procedures. Preservation of security alerts and security incidents artefacts for forensic purpose. Adherence to Service Level Agreements (SLA) and KPIs. Reduction in Mean Time to Detection and Response (MTTD & MTTR). Mandatory Skill Sets Certified SOC Analyst (EC-Council), Computer Hacking Forensic Investigator (EC-Council), Certified Ethical Hacker (EC-Council), CompTIA Security+, CompTIA CySA+ (Cybersecurity Analyst), GIAC Certified Incident Handler (GCIH) or equivalent. Product Certifications Product Certifications on SOC Security Tools such as SIEM/Vulnerability Management/ DAM/UBA/ SOAR/NBA etc. Preferred Skill Sets SOC - Splunk Years Of Experience Required 2-7 Years Education Qualification B.Tech/MCA/MBA with IT background/ Bachelor’s degree in Information Technology, Cybersecurity, Computer Science Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills SoCs Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Azure Data Factory, Communication, Cybersecurity, Cybersecurity Framework, Cybersecurity Policy, Cybersecurity Requirements, Cybersecurity Strategy, Emotional Regulation, Empathy, Encryption Technologies, Inclusion, Intellectual Curiosity, Managed Services, Optimism, Privacy Compliance, Regulatory Response, Security Architecture, Security Compliance Management, Security Control, Security Incident Management, Security Monitoring {+ 3 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 Risk Management Level Associate Job Description & Summary At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. As a cybersecurity generalist at PwC, you will focus on providing comprehensive security solutions and experience across various domains, maintaining the protection of client systems and data. You will apply a broad understanding of cybersecurity principles and practices to address diverse security challenges effectively. 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: We are seeking a professional to join our Cybersecurity and Privacy services team, where you will have the opportunity to help clients implement effective cybersecurity programs that protect against threats. Job Position Title: Associate /Senior Associate Level_SOC_Skill_Managed Services_ Competency_Advisory LOS Ahmedabad Location Responsibilities L1 - Minimum 2 years of relevant experience in SOC/Incident Management/Incident Response /Threat Detection Engineering/ Vulnerability Management/ SOC platform management/ Automation/Asset Integration/ Threat Intel Management /Threat Hunting. L2 - Minimum 4 years of relevant experience in SOC/Incident Management/Incident Response /Threat Detection Engineering/Vulnerability Management/ SOC platform management/ Automation/ Asset Integration/ Threat Intel Management/Threat Hunting. Round the clock threat monitoring & detection Analysis of any suspicious, malicious, and abnormal behavior. Alert triage, Initial assessment, incident validation, its severity & urgency Prioritization of security alerts and creating Incidents as per SOPs. Reporting & escalation to stakeholders Post-incident Analysis Consistent incident triage & recommendations using playbooks. Develop & maintain incident management and incident response policies and procedures. Preservation of security alerts and security incidents artefacts for forensic purpose. Adherence to Service Level Agreements (SLA) and KPIs. Reduction in Mean Time to Detection and Response (MTTD & MTTR). Mandatory Skill Sets Certified SOC Analyst (EC-Council), Computer Hacking Forensic Investigator (EC-Council), Certified Ethical Hacker (EC-Council), CompTIA Security+, CompTIA CySA+ (Cybersecurity Analyst), GIAC Certified Incident Handler (GCIH) or equivalent. Product Certifications Product Certifications on SOC Security Tools such as SIEM/Vulnerability Management/ DAM/UBA/ SOAR/NBA etc. Preferred Skill Sets SOC - Splunk Years Of Experience Required 2-7 Years Education Qualification B.Tech/MCA/MBA with IT background/ Bachelor’s degree in Information Technology, Cybersecurity, Computer Science Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills SoCs Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Azure Data Factory, Communication, Cybersecurity, Cybersecurity Framework, Cybersecurity Policy, Cybersecurity Requirements, Cybersecurity Strategy, Emotional Regulation, Empathy, Encryption Technologies, Inclusion, Intellectual Curiosity, Managed Services, Optimism, Privacy Compliance, Regulatory Response, Security Architecture, Security Compliance Management, Security Control, Security Incident Management, Security Monitoring {+ 3 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 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 Job Description & Summary – Senior Associate – Business Analyst – Mumbai About Us PwC India (PricewaterhouseCoopers) is a leading professional services firm delivering high-quality advisory, consulting, and technology solutions across industries. Within our Technology Consulting practice, we specialize in helping clients unlock the power of Data, Analytics, and Cloud to drive business transformation. Our Data & Analytics team works extensively with Indian insurance clients, delivering innovative and scalable solutions including Data Migration, Data Lake and Data Warehouse implementation, Reporting modernization, and full-spectrum data lifecycle services. We are seeking a highly motivated Business Analyst to join our team in Mumbai to support critical client engagements in the insurance sector. Requirement Gathering: Engage with insurance stakeholders (business, operations, IT) to collect, analyze, and validate business and data requirements. Documentation: o Create clear and comprehensive Business Requirement Documents (BRDs), Functional Specification Documents (FSDs), user stories, and process documentation. o Develop process flows, wireframes, and support technical documentation for data teams. Data Analysis & Mapping: Conduct detailed data mapping between source (e.g., core insurance platforms) and target systems (data lake, data warehouse). o Collaborate with data architects to translate business requirements into logical data models. Data Modeling: o Contribute to data modeling discussions by understanding conceptual, logical, and physical data models. o Work with data engineers to ensure alignment between business requirements and data architecture. Stakeholder Management: o Act as a liaison between business users and technical teams, ensuring clarity and alignment. o Organize and lead workshops, requirement walkthroughs, and review sessions. QA/UAT Support: o Help in preparing test scenarios, validating data, and facilitating user acceptance testing (UAT). Insurance Domain Expertise: o Understand insurance business functions (underwriting, policy issuance, claims, endorsements, renewals). o Must have knowledge of Life, General & Health Insurance. o Familiarity with IRDAI regulations, reporting needs, and insurance KPIs. Required Skills & Experience 4+ years of experience as a Business Analyst, with a strong background in insurance services(Life, General & Health). Hands-on experience in documenting BRDs, FSDs, data mapping sheets, and process documentation. Strong exposure to data-centric projects (e.g., migration, data warehousing, reporting). Working knowledge of data modeling concepts – understanding of entities, relationships, and normalization. Proficiency in MS Excel, PowerPoint, Visio, and tools like JIRA, Confluence. Excellent communication, analytical thinking, and stakeholder engagement skills. Functional knowledge of insurance processes and terminology. Educational Qualifications Master’s in Business Administration, Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field is required. Relevant certifications (e.g., CBAP, IIBA, or domain-specific certifications in insurance) are an added advantage. Good to Have Familiarity with SQL and ability to perform basic data analysis or validation. Exposure to cloud platforms such as Azure, AWS, or GCP in the context of data services. Experience with BI/reporting tools like Power BI, Tableau, or Qlik. Mandatory Skill Sets Business Analyst/Insurance Domain Preferred Skill Sets Business Analyst/Insurance Domain Years Of Experience Required 4--8 years Education Qualification B.E.(B.Tech)/M.E/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Apache Hadoop, AWS Devops, Microsoft Azure, Snowflake (Platform) 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

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: · Build, Train, and Deploy ML Models using Python on Azure/AWS · 1+ years of Experience in building Machine Learning and Deep Learning models in Python · Experience on working on AzureML/AWS Sagemaker · Ability to deploy ML models with REST based APIs · Proficient in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.) · Ability to work directly with customers with good communication skills. · Ability to analyze datasets using SQL, Pandas · Experience of working on Azure Data Factory, PowerBI · Experience on PySpark, Airflow etc. · Experience of working on Docker/Kubernetes Mandatory skill sets: Data Science, Machine Learning Preferred skill sets: Data Science, Machine Learning Years of experience required: 4 - 8 Education qualification: B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Science 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. Job Description & Summary: A career in our Human Resources team, 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. As part of our Policy, Strategy and Leadership team, you’ll provide strategic oversight, manage operations, and develop policies for all aspects of the Human Resources team. Responsibilities: Compensation Benchmarking and Analysis Work on compensation benchmarking exercise for new and existing Partner - participation in compensation and benefits surveys including recommendations on comparator baskets, understanding job families and descriptions; and data validation with the business. Conduct job matching exercises with survey partners Should have knowledge of Employee Stock Option Plan to understand the current ESOP scheme of Partners and design a new one accordingly. Gap Analysis : Collation and analysis of multiple sources of benchmarks and data to derive insights on compensation trends and gaps basis external benchmarks, recruitment data, internal employee data and existing pay ranges. Conduct review of pay ranges for Partners , based on survey results and gap analysis, internal and external equity analysis. Design new ranges as required by the business. Partner with business teams for finalizing pay ranges basis affordability inputs. Annual Compensation Review Create first level simulations and models on increments and variable pay including promotions. Partner with LoS BUHC and LoS/SBU Leaders to refine LoS wise compensation models, principles and grids. Conduct Pay Equity Analysis Work with LoS BUHC for budget approval for Bonus and Increments. Work on Presentation CPO/COO on final increment and V Pay grids Partner with HC Operations and BUHC teams for final TR Checks for governance and compliance, Letter Release; and Increment and Variable Pay payout (for all staff including EDs) Other Policy Management – Working on SOPs/Policies/Guidelines that come under the domain of Total Rewards Data Repository – maintain up to date compensation and benefits data repository. Work on Internal Audit requirements as needed. Participate in Vendor Evaluation for compensation and benefits. Acting as a CoE for key stakeholders like Performance Management team leaders, BU HCs and other COEs for addressing Compensation and Benefits concerns/queries Mandatory skill sets: · Advanced Excel and modeling skills · Project Management and Data Analytics skills · Insight generation and eye for detail · Cultural sensitivity and the ability to build effective relationship with stakeholders across different groups – HC, Business, Vendors and External Firms · Excellent interpersonal and presentation skills (written presentation of technical and analytical work is key) Preferred skill sets: Compensation Management, Excel Analytics Years of experience required: 4 years Education qualification: BBA, B.Com, MBA, PGDM, M.Com Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Postgraduate (Diploma), Master of Business Administration, Bachelor in Business Administration, Bachelor of Commerce Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Compensation Plans 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 IFS - Internal Firm Services - Other Management Level Manager Job Description & Summary At PwC, our people in corporate affairs and communications are responsible for managing and coordinating the organisation's internal and external communications, public relations, and corporate reputation. They focus on developing and implementing strategies to effectively communicate the organisation's mission, values, and initiatives to various stakeholders including employees, customers, investors, media, and the general public. In public relations at PwC, you will focus on managing and enhancing the Firm's reputation through strategic communication and media relations. You will build strong relationships with stakeholders and promote the Firm's brand and values. *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 Manager in PwC India's Brand and Public Policy team will play a pivotal role in building strategic brand alliances and enhancing the firm's engagement with public policy institutions. This position requires a candidate with relevant experience in policy advocacy, strategic brand building, and stakeholder engagement to elevate PwC's brand presence and influence in critical policy areas. Responsibilities: Brand Building and Strategic Alliances: Develop and execute strategies to strengthen PwC's brand through partnerships and active participation in industry associations. Identify, establish, and nurture strategic brand alliances and networks that align with PwC’s objectives. Represent PwC at key industry events, forums, and seminars to enhance brand visibility and credibility. Industry and Market Awareness: Monitor and analyze key policy matters, market trends, and industry happenings that influence the business ecosystem. Identify opportunities for strategic partnerships and interventions that align with PwC's core areas of focus. Provide insights and recommendations to senior leaders on emerging policy issues and potential impacts on the business. Curating Policy and Brand Interventions: Design and implement policy advocacy campaigns and initiatives to position PwC as a thought leader in areas of strategic importance. Collaborate with internal teams to develop and disseminate impactful policy position papers, reports, and whitepapers. Drive PwC's participation in industry consultations and policy development forums. Engagement Cadence for Senior Leaders: Develop and maintain a structured engagement plan for PwC senior leaders with external stakeholders, including academia, quasi-regulators, and think tanks. Facilitate and coordinate high-level meetings, discussions, and collaborations to advance PwC's brand and policy goals. Ensure consistent and impactful external communication to enhance stakeholder relationships. Advocacy and Public Policy Efforts: Responsible for PwC’s advocacy efforts by identifying and pursuing direct and indirect advocacy opportunities. Build coalitions and alliances to support PwC’s policy advocacy objectives. Serve as an advocate for PwC on relevant policy issues at various platforms. Mandatory skill sets: Successful development and execution of brand-building strategies resulting in enhanced brand recognition and reputation. Establishment of meaningful and strategic partnerships with key industry and policy stakeholders. Effective engagement of senior PwC leaders in high-impact policy forums and associations. Measurable progress in advocacy efforts, evidenced by favorable policy outcomes for PwC. Positive feedback from internal and external stakeholders on brand and policy initiatives. Preferred skill sets: Public policy Brand building Years of experience required: 6-8 years Education qualification: BBA, B.Com, M.Com, MBA, PGDM Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Bachelor of Commerce, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Brand Building, Stakeholder Management Optional Skills Public Policy 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 Specialist Job Description & Summary At PwC, our people in finance focus on providing financial advice and strategic guidance to clients, helping them optimise their financial performance and make informed business decisions. These individuals handle financial analysis, budgeting, forecasting, and risk management. Those in payroll at PwC will assist in the accurate and timely processing of payroll for employees. Working in this area, you will handle payroll administration, including calculating wages, deductions, and taxes, as well as confirming compliance with relevant laws and regulations. Your responsibilities include collaborating with HR teams to maintain employee records, address payroll-related inquiries, and assist in payroll accuracy. You will play a crucial role in making sure employees are paid correctly and on time, contributing to the overall financial well-being of the organisation and supporting employee satisfaction. *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 Finance, within Internal Firm Services, will provide you with the opportunity to help PwC in all aspects of our Finance internal function including financial planning and reporting, data analysis, and assisting leadership with overall strategy. You’ll focus on recording and analysing financial transactions, paying and receiving invoices, maintaining financial statement ledger accounts, and preparing analysis and reconciliations of bills to detect fraud. As a part of our Payroll team, you’ll help PwC manage and administer timely, accurate, and efficient processing of our payroll operations. You’ll help manage the Payroll account ledgers, prepare tax reports and documents, and perform routine internal audits to make sure our system is always compliant with federal, state, and local laws. Responsibilities: - Assist in conducting validations and checks on draft/final paysheets for India and Nepal, ensuring adherence to accuracy and regulatory requirements. - Provide support in liaising with third-party payroll vendors to resolve discrepancies and enhance the payroll process. - Preparing Advance payments in mid-month to settle Salary Hold cases - Liaising with HC after salary payment for bounced back cases to settle the payments in mid-month - Assist end-to-end processing of Payroll changes, maintaining records for new hires, terminations, Entity Transfer, change from FTC to FTE, Intern / Trainee to Employee, etc - Help in maintaining accurate payroll provisions, reports, schedules and collaborate with Finance and other teams to align with financial reporting. - Process transactions in the internal accounting software under the guidance of the Senior Associate / Manager, ensuring correct cost center/project allocation. - Support the preparation of detailed monthly schedules for statutory reporting, ensuring the inclusion of critical payroll components and analysis. - Help manage and resolve payroll – related inquiries from employees, providing high-quality service and maintaining employee trust & satisfaction. - Supporting the senior associate with budgeting & forecasting exercises related to payroll, providing data analysis and reports as needed - Assist in coordinating with the internal Tax team and Auditors as necessary. Mandatory skill sets: Indian Payroll, payroll compliance, Payroll Preferred skill sets: Payroll, Payroll Services Years of experience required: 1+ years Education qualification: BBA, B.Com, MBA, M.Com, PGDM Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Commerce, Bachelor in Business Administration, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Fund Compliance Optional Skills Accepting Feedback, Active Listening, Analytical Reasoning, Communication, Compensation and Payroll, Emotional Regulation, Empathy, Escalation Management, Inclusion, Intellectual Curiosity, Optimism, Payroll Accounting, Payroll Calculation, Payroll Legislation, Payroll Management, Payroll Records, Payroll Software, Payroll System Documentation, Payroll System Integration, Processing (Finance), Teamwork, Well Being 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 Specialist Job Description & Summary At PwC, our people in finance focus on providing financial advice and strategic guidance to clients, helping them optimise their financial performance and make informed business decisions. These individuals handle financial analysis, budgeting, forecasting, and risk management. In financial operations at PwC, you will focus on managing financial processes and confirming compliance with regulations. You will handle tasks such as financial reporting, budgeting, and risk management. 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 Finance, within Internal Firm Services, will provide you with the opportunity to help PwC in all aspects of our Finance internal function including financial planning and reporting, data analysis, and assisting leadership with overall strategy. You’ll focus on recording and analysing financial transactions, paying and receiving invoices, maintaining financial statement ledger accounts, and preparing analysis and reconciliations of bills to detect fraud. Responsibilities: Understand the sound knowledge in accounts payable process which includes vendor payments and employee expense management. Understand Oracle applications navigations of Projects, Accounts payable module Experience in managing employee expenses processes Exposure to reviewing correctness of monthly accounting, expenses and tax related entries are flowing to the relevant Account GL Assist in monthly, quarterly, and year-end closing activities related to accounts payable. Reconcile vendor statements with internal records to ensure all payments are accounted for correctly. Assist in Vendor Balance confirmations and reconciliations process Performing quality checks and releasing weekly/monthly reports to the management on the findings Exposure in performing various reconciliations in AP process Preparation of monthly schedules post the closing Ability to liaise with internal / external teams and stakeholders Dealing with internal and external auditors Managing dashboard/reporting for higher management & stakeholders Coordinating with technical teams to ensure regular health check-up of the applications in use Ensuring monthly review meetings with Controllers & process leads Internal/External stakeholder management Mandatory skill sets: -Accounts Payable - P2P Preferred skill sets: Finance Years of experience required: 1+ year Education qualification: B.Com, BBA, MBA, M.Com, PGDM Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Commerce, Bachelor in Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Accounts Payable (AP) Optional Skills Accepting Feedback, Accepting Feedback, Accounting Policies, Accounting Practices, Active Listening, Balance Sheet Analysis, Budgetary Management, Cash Flow Analysis, Communication, Emotional Regulation, Empathy, Escalation Management, Financial Budgeting, Financial Close Process, Financial Data Mining, Financial Forecasting, Financial Management, Financial Policy, Financial Reporting, Financial Statement Analysis, Generating Financial Reports, Inclusion, Intellectual Curiosity, Internal Controls, Key Performance Indicators (KPIs) {+ 4 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 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. " 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: • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory skill sets: AI/ML, NLP, and Generative AI models, Preferred skill sets: Azure, Google Cloud Years of experience required: 7-8 Years Education qualification: Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. 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 Data Science Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 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 Risk Management Level Senior Associate Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth. 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 We are looking for a skilled Azure Data Engineer to join our Data Analytics (DA) team. The ideal candidate will have a strong understanding of Azure technologies and components, along with the ability to architect web applications on the Azure framework. As part of the team, you will be responsible for end-to-end implementation projects utilizing GenAI-based models and frameworks, contributing to our innovative data-driven solutions. Responsibilities: Architecture & Design: Design and architect web applications on the Azure platform, ensuring scalability, reliability, and performance. End-to-End Implementation: Lead the implementation of data solutions from ingestion to visualization, leveraging GenAI-based models and frameworks to drive analytics initiatives. Development & Deployment: Write clean, maintainable code in Python, Pyspark and deploy applications and services on Azure using best practices. Data Engineering: Build robust data pipelines and workflows to automate data processing and ensure seamless integration across various data sources. Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and business analysts, to understand data requirements and develop effective solutions. Optimization: Optimize data processes and pipelines to improve performance and reduce costs, utilizing services within the Azure ecosystem. Documentation & Reporting: Document architecture, development processes, and technical specifications; provide regular updates to stakeholders. Technical Skills And Requirements: Azure Expertise: Strong knowledge of Azure components such as Azure Data Lake, Azure Databricks, Azure SQL Database, Azure Storage, and Azure Functions, among others. Programming Languages: Proficient in Python and Pyspark for data processing, scripting, and integration tasks. Big Data Technologies: Familiarity with big data tools and frameworks, especially Hadoop, and experience with data engineering concepts. Databricks: Experience using Azure Databricks for building scalable and efficient data pipelines. Database Management: Strong SQL skills for data querying, manipulation, and management. Data Visualization (if necessary): Basic knowledge of Power BI or similar tools for creating interactive reports and dashboards. Cloud Understanding: Familiarity with AWS is a plus, enabling cross-platform integration or migration tasks. Mandatory Skill Sets: gen AI Preferred Skill Sets: Gen AI Years Of Experience Required: 3 to 8 years of professional experience in data engineering, with a focus on Azure-based solutions and web application architecture Education Qualification: Bachelor’s degree (B.Tech) or Master’s degree (M.Tech, MCA) in Economics, Computer Science, Information Technology, Mathematics, or Statistics. A background in the Finance domain is preferred. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting, Financial Audit {+ 24 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 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. " 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 Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. Ensure compliance with data governance standards and ethical AI practices in all implementations. Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory Skill Sets AI/ML, NLP, and Generative AI models, Preferred Skill Sets Azure, Google Cloud Years Of Experience Required 7-8 Years Education Qualification Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. 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 Data Science Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 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: 1. 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: 1. 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: 1. 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. 2. 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. 3. 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. 4. 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. 5. 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