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IN_Senior Associate – AWS Data Engineer – Data and Analytics – Advisory – Bangalore
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Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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.Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn more .
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 AWS Data Engineer with strongexpertisein SQL, Python, andPySparkto design, build, andoptimizescalable data ingestion and ETL/ELT pipelines. The role requires hands-on experience with AWS services such as Glue, Step Functions, Lambda, and DMS, along with a strong understanding of data engineering best practices, production readiness, and high-volume data processing.
Responsibilities:
Develop ETL/ELT pipelines using AWS services such as Glue, Step Functions, Lambda, and DMS.
Implement direct-to-Aurora ingestion strategies for snapshots and delta loads.
Ensure referential integrity, correct processing order, idempotency, and recovery mechanisms.
Build monitoring, validation, and reconciliation frameworks for production data pipelines.
Manage scalability and throughput during high-volume EOD ingestion workloads.
Mandatory skill sets:
Expert-level SQL development and performance optimization.
Strongproficiencyin SQL, Python, andPySpark.
Hands-on experience with ETL pipelines and orchestration frameworks.
Solid understanding of ACID-compliant data ingestion principles.
Experience with schema evolution and CDC (Change Data Capture) patterns.
Experience owning production readiness and end-to-end solution delivery.
Exposure to cloud-native architectures and AWS tools such as Glue, Step Functions, Lambda, and DMS.
Preferred skill sets:
Experience with SAP ODP or enterprise data replication technologies.
Familiarity with distributed PostgreSQL systems.
Exposure to event-driven architectures such as Kafka.
Years of experiencerequired:
Experience:5-8 years
Minimum 3 years of relevant work experience, typically reflecting 5+ years in data engineering, data integration, or related roles.
Proventrack recordof building resilient and idempotent ingestion frameworks.
Experience supporting high-volume, time-sensitive processing, especially EOD workloads.
Strong operational mindset, including monitoring, alerting, andmaintainingrunbooks.
Education Qualification:
BE, B.Tech, ME, M.Tech, MBA, MCA or equivalent qualification preferred
Education
Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications
Required Skills
Amazon Web Services (AWS), Data EngineeringOptional 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 Development, 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 moreDesired Languages
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
September 1, 2026
Are you ready to make a difference Want to unlock new value by applying your unique perspective and talents You can grow exponentially at PwC. Here, you canuncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We'llhelp you grow your skillsthrough challenging, meaningful work so you can go further.
Job ID: 153162465
Skills:
Pyspark, Sql, Python, AWS Lake Formation
Skills:
Pyspark, Sql, Python, AWS Lake Formation
