Description

We're looking for a battle-tested Senior Data Engineer (5+ years) to join our Analytics team and help architect next-gen Lakehouse solutions using modern data engineering best practices

What you'll do:
Build & optimize distributed Spark pipelines (PySpark) — partitioning, caching, broadcast joins, execution plan tuning, memory optimization, CDC & incremental loads
Own end-to-end scalable batch + streaming pipelines with resilient ETL/ELT, retry logic, observability, logging & alerting
Set up CI/CD for data workflows (IaC, automated deployments, Git-based)

Key Skills

Education

Any Graduate