Job 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.

We are looking for an experienced AWS Data Engineer with strong expertise in SQL, Python, and PySpark to design, build, and optimize scalable 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 solid understanding of data engineering best practices, production readiness, and high-volume data processing.

Job Details

- Line of Service: Advisory
- Industry/Sector: Not Applicable
- Specialism: Data, Analytics & AI
- Management Level: Senior Associate

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.
- Strong proficiency in SQL, Python, and PySpark.
- 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.

Experience Experience: 5-8 years
- Minimum 3 years of relevant work experience, typically reflecting 5+ years in data engineering, data integration, or related roles.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 IN_Senior Associate - AWS Data Engineer - Data and Analytics (Bengaluru)
🏢 PwC Service Delivery Center
📍 Bengaluru