6401 Pwc Jobs - Page 10

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Requirement gathering and analysis Experience with different databases like Synapse, SQL DB, Snowflake etc. Design and implement data pipelines using Azure Data Factory, Databricks, Synapse Create and manage Azure SQL Data Warehouses and Azure Cosmos DB databases Extract, transform, and load (ETL) data from various sources into Azure Data Lake Storage Implement data security and governance measures Monitor and optimize data pipelines for performance and efficiency Troubleshoot and resolve data engineering issues Provide optimized solution for any problem related to data engineering Ability to work with a variety of sources like Relational DB, API, File System, Realtime streams, CDC etc. Strong knowledge on Databricks, Delta tables Mandatory Skill Sets Azure Databricks, ADF, or Synapse Analytics, Python Preferred Skill Sets Experienced in Delta Lake, Power BI, or Azure DevOps. Knowledge of Spark, Scala, or other distributed processing frameworks. Exposure to BI tools like Power BI, Tableau, or Looker. Familiarity with data security and compliance in the cloud. Experience in leading a development team. Years Of Experience Required 4 – 7 yrs Education Qualification B.tech/MBA or MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology 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 Operations Management Level Manager 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. Those in Microsoft Dynamics CRM at PwC will specialise in analysing client requirements, implementing CRM software solutions, and providing training and support for seamless integration and utilisation of Microsoft CRM applications. Working in this area, you will enable clients to optimise operational efficiency and achieve 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- CRM Functional Worked as functional for Last 7+ years Last 7+ years in Dynamics 365 & Power platform with Sales CRM domain experience Good communication, Team player and positive attitude Ability to individually contribute and manage BSA for the track on his own Scrum methodology Flexible to do testing as per the need Flexible to learn and adopt other technology Exposure to QA will be beneficial Mandatory skill sets - Dynamics 365 CRM Functional Preferred skill sets- Node.js, Angular.js, React.jsJQuery, CSS, HTML 5, AJAX Year of experience required- 7-10 Years Educational Qualification - BE/BTech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Microsoft Windows 365 Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Analysis, Coaching and Feedback, Communication, Creativity, CRM Analytics, CRM Implementations, CRM Project Management, Customer Journey Analysis, Data Management, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Microsoft Dynamics 365, Microsoft Dynamics CRM, Microsoft Dynamics Customer Relationship Management (CRM) Architecture, Microsoft Dynamics Customer Relationship Management (CRM) Configuration, Microsoft Dynamics Customer Relationship Management (CRM) Integration, Microsoft Power Apps {+ 10 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, develop, and maintain data pipelines using Azure Data Factory (ADF) for ingestion, transformation, and integration of data from various energy systems. Implement workflows using Logic Apps and Function Apps to automate data processing and system interactions. Manage and optimize data storage using Azure Data Lake Storage Gen2 (ADLS Gen2) and Azure SQL databases. Integrate real-time and batch data from IoT devices and energy platforms using Event Hub and Service Bus. Collaborate with cross-functional teams to support data needs across power distribution, automation, and monitoring solutions. Ensure data quality, security, and compliance with industry standards and regulations. Document data architecture, workflows, and best practices for operational transparency and scalability. Mandatory Skill Sets Azure Data Factory, Logic Apps, Function Apps, Azure SQL, Event Hub, Service Bus, and ADLS Preferred Skill Sets Python, SQL, and data modeling Years Of Experience Required 3 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 Data Engineering 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. 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 Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities Support data pipeline development and maintenance Assist in data integration, transformation, and analysis Collaborate with teams to understand data requirements Participate in documentation and learning initiatives Skills Basic knowledge of Databricks platform Exposure to Python, SQL, and Pyspark Familiarity with any cloud platform – Azure, AWS, or GCP Certifications (Optional): Databricks Certified Associate Developer for Spark 3.0 – Preferred Databricks Certified Data Engineer Associate Mandatory Skill Sets Data Engineering Preferred Skill Sets Data Engineering Years Of Experience Required 0-1 years Education Qualification BE Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Data Engineering Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Strategy {+ 22 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service 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. 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 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 Advisory Industry/Sector Not Applicable Specialism Operations Management Level Manager Job Description & Summary At PwC, our people in strategy consulting focus on providing strategic guidance and insights to organisations. They analyse market trends, assess business performance, and develop recommendations to help clients achieve their goals. These individuals work closely with clients to identify opportunities for growth, optimise operations, and enhance overall business performance. In technology strategy at PwC, you will specialise in developing and implementing strategic plans to leverage technology for business growth and innovation. You will analyse market trends, assess organisational needs, and provide guidance on technology investments and initiatives. Working in this area, you will collaborate with stakeholders to align technology strategies with overall business objectives to increase utilisation of technology resources, driving 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: Use best practices with respect to application development, integration, deployment, unit & system testing Responsible for overall project schedule & planning which includes developing and coordinating realistic project plan, including key milestones, success metrics, and drive progress to achieve project plan within time and budget constraints from concept to launch for US based customers Ability to lead a team of large pool of Technical Architects and Business/ Technical Consultants. Professional demeanor, ability to interact with and lead diverse teams throughout Adobe and communicate with client partner, customer success managers, CXOs and Industry lead Proactively research customer needs and exercise appropriate creativity in recommending new solutions, based on the Adobe’s Digital Marketing platform to fulfill those needs. Mandatory skill sets Experience in Technical Program Management, should be able to drive projects in parallel Experience in Project Management methodologies (PMBOK, PRINCE2) and Scrum methodologies Experience working with IT application development projects will be an advantage Proven successful project management experience, preferably delivering large enterprise-based applications and solutions. Innovative thinker, high attention to detail, and thoroughness Excellent problem-solving skills, with a demonstrated ability to identify issues, solve them quickly and well, and know when to rely on internal resources to assist Strong conflict resolution skills Superb organizational skills to be able to coordinate complicated projects. Exceptional team building and team management skills, with proven experience managing virtual (including near- and off-shore) teams in a international environment Proven technical ability to understand the impact of technical changes, and to articulate high-level technical solutions to address business problems Agile/SCRUM and/or PMI Certification and demonstrated rigor in project management best practices Preferred skill sets Experience in ERP IMplementation Years of experience required Minimum 7+ years of experience plus MBA is required for the role Overall experience can vary between (10+) Years Education Qualification Work experience in IT & ITeS/Software product companies preferred B.E/B.Tech + MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills SME Management Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Analytics Strategy, Architecture Development, Business Architecture, Business Model Innovation, Business Transformation, Cloud Computing, Coaching and Feedback, Commercial Strategies, Communication, Creativity, Digital Customer Experience, Digital Strategies, E-Commerce, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Information Technology Applications, Intellectual Curiosity, IT Governance {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. 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 Proficiency with Microsoft Excel, Access, PowerPoint, PowerBI and SQL required. What you will deliver Design and build Power BI reports and dashboards using DAX, Power Query (M), bookmarks, and drill-through features. Should have strong experience in implementing semantic models using best practices. Strong experience in Power BI Report Builder, Develop Paginated (RDL) reports. Tune and optimize reports connected to On-prem / Cloud databases via DirectQuery, ensuring performance. Manage and monitor Power BI Premium P1 capacity, including auto-scaling, memory usage, CPU load, and report cache strategies. Monitoring / Troubleshooting on-premises data gateways and optimize connector settings. Collaborate on report classification, and governance, including report lifecycle, naming conventions, RLS/OLS, and sensitivity labels. Integrate Power BI with multiple systems and design unified models across sources. Presentation of Data & Analysis Format data in a clear and concise presentation that communicates and documents analysis findings. Present findings and recommendations to functional areas impacted by analysis. Experience and Qualifications Proficiency in Microsoft Excel, Access, PowerPoint required; PowerBI and SQL preferred. Experience Level: 3-6 years General Responsibilities Analyzing Data or Information — Identifying the underlying principles, reasons, or facts of information by breaking down information or data into separate parts. Contributing analyses to departmental groups and committees (including procurement) for presentation. Organizing, Planning, and Prioritizing Work — Developing specific goals and plans to prioritize, organize, and accomplish your work. Self-starting projects while generating workable and realistic timeframes to improve the productivity of projects to produce tangible results. Establishing and Maintaining Interpersonal Relationships — Developing constructive and collaborative working relationships and maintaining them over time. Spending time to align personal and professional development with experts in all areas of the business. Collectively supplying and recognizing the achievements and successes of others. Physical and Mental Skills and/or Abilities Statistical & Spreadsheet Proficiency — Using computers and computer systems to evaluate and process information, enter data and set up functions/queries. Critical Thinking — Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. Deductive Reasoning — The ability to apply general rules to specific problems to produce answers that make sense. Inductive Reasoning — The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events). Mandatory Skill Sets ‘Must have’ knowledge, skills and experiences MS Excel, Power BI, DAX, Data Modelling, SQL Preferred Skill Sets ‘Good to have’ knowledge, skills and experiences Statistical analysis, SAP Analytics Years Of Experience Required 3-6 years of experience Education Qualification BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor Degree Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Power BI 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 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. Job Description & Summary: A career within Enterprise Architecture services, will provide you with the opportunity to bring our clients a competitive advantage through defining their technology objectives, assessing solution options, and devising architectural solutions that help them achieve both strategic goals and meet operational requirements. We help build software and design data platforms, manage large volumes of client data, develop compliance procedures for data management, and continually researching new technologies to drive innovation and sustainable change. Responsibilities Develop, implement, and manage performance marketing campaigns across multiple digital platforms (e.g., Google Ads, Facebook Ads, programmatic advertising). Utilize various analytics tools (e.g., Google Analytics, Tableau, Looker Studio) to analyze campaign performance, identify trends, and generate actionable insights. Monitor and report on key performance indicators (KPIs) such as ROAS, CPA, conversion rates, and customer acquisition cost. Conduct A/B tests and other experiments to improve campaign performance and conversion rates. Contribute to the development of performance marketing strategies to achieve business objectives, including customer acquisition and revenue growth. Collaborate with creative, product, and engineering teams to ensure alignment and campaign effectiveness. Stay up-to-date with industry trends, emerging technologies, and best practices in performance marketing. Mandatory Skill Sets Strong analytical, technical, and communication skills, along with expertise in digital marketing platforms and a strategic mindset Preferred Skill Sets strong analytical, strategic skills along with expertise in digital marketing platforms and tools. They should be proficient in data analysis, campaign management, and budget allocation, and able to collaborate effectively Years Of Experience Required 4+ years Education Qualification B.E. / B.Tech / MCA/ M.E/ M.TECH/ MBA/ PGDM. All qualifications should be in regular full-time mode with no extension of course duration due to backlogs Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration), Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Performance Marketing 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 Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Manager 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 Institutional Payment BA Client Advisory & Business Analysis Domain Expertise & Solution Design Project Implementation Stakeholder & Team Collaboration Mandatory Skill Sets Essential Skills: 1. Client Advisory & Business Analysis Collaborate with banking clients to understand their strategic goals, operational challenges, and digital transformation needs. Gather, analyze, and document business requirements through stakeholder interviews, workshops, and data analysis. Translate business needs into clear functional specifications and user stories for development teams. 2. Domain Expertise & Solution Design High Value Payment Schemes like Target 2, Fedwire, CHIPS, SEPA, CHAPS etc. Cross-Border Payment Framework Business understanding of the custody value chain ISO 20022 Understanding of core payment engines like Volpay, GPP, RPH etc. Deep understanding of accounting setups across the payment value chain Deep understanding of the settlement mechanisms like DvP, PvP etc. 3. Project Implementation Work alongside project managers, solution architects, and developers to deliver projects on time and within scope. Support activities such as user acceptance testing (UAT), system configuration, process mapping, and change management. Assist in developing key project artifacts including BRDs, FRDs, SOPs, training manuals, and status reports. 4. Stakeholder & Team Collaboration Act as a bridge between client stakeholders (e.g., relationship managers, operations, risk, IT) and internal consulting teams. Facilitate workshops, sprint planning, and review sessions. Manage client expectations and ensure high-quality deliverables. Preferred Skill Sets 7–10 years of experience as a business analyst in institutional or corporate banking, ideally with prior consulting exposure. Deep understanding of banking processes and systems (e.g., credit origination, trade finance, treasury platforms). Experience working on large-scale transformation projects, core banking upgrades, or regulatory compliance initiatives. Familiarity with banking platforms (e.g., Loan IQ, Finastra, Flexcube) is an advantage. Years of experience required: 7 to 10 Education qualification: Bachelor's degree in finance, Economics, Business Administration, or related field; MBA or relevant certifications (CBAP, CFA, PMP) preferred. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree, MBA (Master of Business Administration) Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Institutional Funds Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment {+ 21 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 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. Job Description & Summary: A career within Enterprise Architecture services, will provide you with the opportunity to bring our clients a competitive advantage through defining their technology objectives, assessing solution options, and devising architectural solutions that help them achieve both strategic goals and meet operational requirements. We help build software and design data platforms, manage large volumes of client data, develop compliance procedures for data management, and continually researching new technologies to drive innovation and sustainable change. Responsibilities Develop, implement, and manage performance marketing campaigns across multiple digital platforms (e.g., Google Ads, Facebook Ads, programmatic advertising). Utilize various analytics tools (e.g., Google Analytics, Tableau, Looker Studio) to analyze campaign performance, identify trends, and generate actionable insights. Monitor and report on key performance indicators (KPIs) such as ROAS, CPA, conversion rates, and customer acquisition cost. Conduct A/B tests and other experiments to improve campaign performance and conversion rates. Contribute to the development of performance marketing strategies to achieve business objectives, including customer acquisition and revenue growth. Collaborate with creative, product, and engineering teams to ensure alignment and campaign effectiveness. Stay up-to-date with industry trends, emerging technologies, and best practices in performance marketing. Mandatory Skill Sets Strong analytical, technical, and communication skills, along with expertise in digital marketing platforms and a strategic mindset Preferred Skill Sets strong analytical, strategic skills along with expertise in digital marketing platforms and tools. They should be proficient in data analysis, campaign management, and budget allocation, and able to collaborate effectively Years Of Experience Required 4+ years Education Qualification B.E. / B.Tech / MCA/ M.E/ M.TECH/ MBA/ PGDM. All qualifications should be in regular full-time mode with no extension of course duration due to backlogs Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Performance Marketing 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 Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations 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. 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. Job Description & Summary: 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. 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. Experience: o 4+ years of hands-on experience in AI/ML, generative AI, or automation development. o Proven expertise in agentic frameworks like LangGraph, AutoGen, CrewAI, and multi-agent systems. o Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications. o Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI, Gemini, Vertex AI). Technical Skills: o Advanced proficiency in Python and relevant libraries (LangChain, Transformers, Pandas, PyTorch, Scikit-learn). o Strong SQL skills for querying and managing databases (e.g., PostgreSQL, MongoDB). o 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. o Knowledge of automation tools (e.g., UiPath, Automation Anywhere) and workflow orchestration platforms. Soft Skills: o Exceptional communication skills to articulate technical concepts to non-technical stakeholders. o Strong problem-solving and analytical skills to address complex automation challenges. o Ability to work collaboratively in a fast-paced, client-facing environment. o 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 Sets Agentic, LLM, RAG, AIML, LangGchain Preferred Skill Sets Agentic, LLM, RAG, AIML, LangGchain, Gen AI Years Of Experience Required 4-7 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 APA Style, Large Language Model (LLM) Fine-Tuning, Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, 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 {+ 36 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 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. In identity and access management at PwC, you will focus on confirming secure and efficient access to systems and data for employees and/or clients. Your work will involve the design and implementation of strategies to protect sensitive information and manage user identities. 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 highly skilled Sailpoint Developer .If candidate has experience of 2-3 years, he/she must be Sailpoint Certified, above 3 years experience sailpoint certification is not mandatory but good to have Responsibilities Technical Skills/Knowledge: Candidates should have hands-on experience in sailpoint(8.x) development that should include below functionalities. Writing Rules using sailpoint api's in Java/Beanshell. Concepts of Roles, Policies, Certifications. Basic concepts like installation, Identity Mappings, correlation, debugging, filters etc. Knowledge on Workflows, LCM, Email Templates and Provisioning Good to have skills: Custom Connector Sailpoint Integration with different tools Rest api's Very good Java programming skills Good understanding of the Deployment process. Must have exposure in agile projects Mandatory Skill Sets sailpoint Preferred Skill Sets sailpoint Years Of Experience Required 3-12 Education Qualification B.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills SailPoint Identity Security Cloud Optional Skills Accepting Feedback, Accepting Feedback, Access Control Models, Access Control System, Access Management, Active Listening, Authorization Compliance, Authorization Management Systems, Azure Active Directory, Cloud Identity and Access Management (IAM), Communication, CyberArk Management, Cybersecurity, Emotional Regulation, Empathy, Encryption Technologies, Federated Identity Management, ForgeRock Identity Platform, Identity and Access Management (IAM), Identity-Based Encryption, Identity Federation, Identity Governance Framework (IGF), Identity Verification, Inclusion, Information Security {+ 17 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

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

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

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

Line of Service Advisory Industry/Sector Not Applicable Specialism SAP 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: We are looking for a highly skilled Azure Cloud Data Engineer with over 6 years of experience in designing and building scalable data solutions on Microsoft Azure. This role is based in Noida and requires deep expertise in Azure Data Services, ETL pipelines, and modern data architecture. The ideal candidate will contribute significantly to project delivery, collaborate with stakeholders, and ensure high standards in data engineering practices. Responsibilities Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory. Architect and implement cloud-based data solutions, integrating structured and unstructured data sources. Build and optimize ETL workflows and ensure seamless data integration across platforms. Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems. Manage Azure-based storage solutions including Azure Data Lake and Blob Storage. Troubleshoot performance bottlenecks in data flows and ETL processes. Integrate advanced analytics and support BI use cases within the Azure ecosystem. Lead code reviews and ensure adherence to version control practices (e.g., Git). Contribute to the design and deployment of enterprise-level data warehousing solutions. Stay current with Azure technologies and big data trends to apply best practices. Mandatory Skill Sets Strong SQL skills (Must-Have) Azure Databricks (Must-Have) Azure Data Factory Azure Blob Storage / Azure Data Lake Storage Python Programming (Intermediate Expertise) Apache Spark (hands-on experience) Data modeling (Normalization & Denormalization) Data warehousing and BI tools integration Git (Version Control) Building scalable ETL pipelines Have) Preferred skill sets (Good to Understanding of OLTP and OLAP environments Experience with Kafka and Hadoop Azure Synapse Analytics Azure DevOps for CI/CD integration Agile delivery methodologies Years of experience Required 6+ years of overall experience in cloud engineering or data engineering roles, with at least 3+ years of hands-on experience with Azure cloud services. Education Qualification BE/B.Tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) 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 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: o Bachelor’s degree (B.Tech) or Master’s degree (M.Tech, MCA) in Economics, Computer Science, Information Technology, Mathematics, or Statistics. o 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 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 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