Description
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 contemporary 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.
- SQL Mastery: Expert-level SQL skills for complex analytical queries and query plan analysis.
- Data Modeling: Proficiency in designing Star/Snowflake schemas and understanding "Medallion Architecture" (Bronze, Silver, Gold layers).
Preferred "Bonus" Skills
- Experience with Infrastructure as Code (IaC) like Terraform or Pulumi.
- Familiar

📌 Sr Data Engineer, Python + Spark (India)
🏢 Photon Group
📍 India