As a Senior Spark Data Engineer, you will build and support data pipelines for both batch and real-time data processing. Responsibilities include developing fault-tolerant data workflows, tuning large queries, conducting root cause analysis, and leading implementation of complex programs.

The Senior Spark Data Engineer will build and support data pipelines, ensuring high availability and fault tolerance. Key responsibilities include developing documentation, tuning queries on large datasets, and providing consultancy for complex programs while leveraging Spark and related technologies.