Senior Data Platform Engineer OLAP
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You will expand data platform capabilities across OLAP and data engineering ecosystems. You will build and improve distributed infrastructure, develop data quality and discoverability tools, optimize CI/CD environments, and create reliable real-time and batch streaming systems for analytical workloads.
Responsibilities
- Scale and optimize OLAP ecosystems
- Design data contracts and validation frameworks
- Build optimization tooling and Kafka ingestion pipelines
- Develop and maintain high-performance distributed data platforms
- Work with databases, filesystems, and compute engines
- Build metadata collection and data lineage tools
- Improve platform-wide data quality
- Optimize continuous release and deployment environments
- Develop stream processing applications and frameworks
Requirements
- 6+ years of object-oriented programming experience in Python or Java
- Experience with distributed compute and data systems such as Spark, Trino, Druid, or ClickHouse
- Experience with real-time and batch pipelines
- Experience with Kafka and Spark Streaming
- Strong communication skills
- Experience building reliable and user-friendly data systems