IN_Senior Associate_AWS Data Engineer_ GCC_Advisory_Bangalore

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. In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to 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. " Job Description & Summary: We are looking for an experienced Data Engineer to lead and perform hands-on development of scalable, cloud-native data engineering solutions. The ideal candidate will bring strong programming expertise in Python, PySpark, and related languages, combined with deep, hands-on experience building, deploying, and operating data pipelines on AWS. This role requires strong capability in handling large datasets and complex data models, along with solid SQL Server and stored procedure experience, to support enterprise-scale data ingestion, migration, and transformation initiatives. Responsibilities: Lead and perform hands-on development of data engineering solutions, writing clean, efficient, and maintainable code in Python, PySpark, and other relevant programming languages. Design, develop, and deploy cloud-native solutions on AWS, leveraging Compute services (EC2, Lambda) and Storage services (S3) to build scalable data platforms. Design and manage database solutions using RDS, Aurora, Postgres, and DynamoDB to support structured and unstructured data workloads. Build and orchestrate data workflows using Apache Airflow, AWS Step Functions, and SNS for reliable, automated pipeline execution. Develop and optimize ETL/analytics pipelines using AWS Glue, EMR, Athena, and Redshift for large-scale data processing and analytics. Implement and manage infrastructure as code and deployment automation using AWS CloudFormation and CodePipeline. Plan and execute data migration strategies using AWS DataSync and AWS DMS, ensuring data integrity and minimal downtime. Integrate services using API Gateway and manage secure access controls through IAM. Handle large datasets and data models end-to-end — including data model design, data model creation, and development of data pipelines for ingestion, migration, and transformation. Write, optimize, and maintain SQL Server queries and stored procedures to support data processing and reporting needs. Collaborate with cross-functional teams, including architects, analysts, and business stakeholders, to translate requirements into robust technical solutions. Ensure data pipelines and cloud infrastructure adhere to enterprise security, governance, and compliance standards. Mandatory skill sets: 6–8 years of hands-on experience leading and performing development, with strong command of one or more programming languages such as Python, PySpark, etc. 4–6 years of hands-on experience developing and deploying cloud-native solutions on AWS, including Compute (EC2, Lambda), Storage (S3), and Database (RDS, Aurora, Postgres, DynamoDB) services. Hands-on experience with orchestration tools such as Apache Airflow, Step Functions, and SNS. Strong expertise in ETL/Analytics services (Glue, EMR, Athena, Redshift), Infrastructure (CloudFormation, CodePipeline), and Data Migration tools (AWS DataSync, AWS DMS). Working knowledge of API Gateway and IAM for secure service integration and access management. Expertise in handling large datasets and data models — including design, data model creation, and development of data pipelines for ingestion, migration, and transformation. Strong hands-on experience with SQL Server and stored procedures. Strong problem-solving and analytical skills, with the ability to work independently and lead development efforts in a fast-paced environment. Excellent communication skills, with the ability to collaborate across technical and business stakeholders. Preferred skill sets: Knowledge of APIs and API integration patterns. Familiarity with SSO (Single Sign-On) implementations. Exposure to streaming technologies (e.g., Kafka, Kinesis, or similar). Years of experience required: 4–10 years Education qualification: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (60% above) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills SAP (Inactive) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining {+ 41 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 April 14, 2026