Sr Data Engineer, Python + Spark (Data Federation skillset - Data Lakehouse - Eg: Starburst) - Chennai

Senior Data Engineer (Data Federation & Lakehouse)

As a Senior Data Engineer, you will be responsible for breaking down data silos. This role focuses on building a unified, high-performance data layer using Data Federation techniques. You won't just move data; you will architect a Data Lakehouse environment where disparate sources feel like a single, cohesive database for our analytics and AI teams.

Core Responsibilities

• Data Federation Architecture: Design and implement federated query layers (e.g., Starburst/Trino) to allow high-speed analytics across distributed data sources without unnecessary data movement.

• ETL/ELT Pipeline Development: Build scalable, distributed data processing pipelines using Python and Apache Spark (PySpark).

• Lakehouse Implementation: Manage and optimize modern table formats like Delta Lake, Apache Iceberg, or Hudi to bring ACID transactions to our data lake.

• Performance Tuning: Optimize Spark jobs and SQL queries across the federation layer to minimize latency and manage compute costs.

• Governance & Security: Implement fine-grained access control and data masking within the federation engine to ensure data privacy across all connected platforms.

Technical Requirements

• Python & Spark: 5+ years of experience with Python and deep expertise in Apache Spark tuning (partitioning, shuffling, caching).

• Data Federation Tools: Hands-on experience with Starburst Enterprise, Trino (Presto), or Dremio.

• Lakehouse Ecosystem: Proven track record working with Delta Lake or Iceberg architectures.

• Cloud Platforms: Extensive experience with AWS (EMR, S3, Glue), Azure (Databricks, ADLS), or GCP.