Related skills
aws sql python tableau databricks📋 Description
- Own end-to-end data platform ops: ingestion, storage, serving
- Architect platform modernization incl streaming, lakehouse, APIs
- Unify real-time and historical data with quality guarantees
- Define data contracts and event schemas for trusted datasets
- Set standards for performance, cost, reliability, and observability
- Lead and grow Data Engineers and Data Platform Engineers
🎯 Requirements
- 10+ years in distributed data systems; 3+ years leadership
- Define data contracts, event schemas, governance at scale
- Real-time data systems: AWS Kinesis and Spark Structured Streaming
- Databricks on AWS (Delta Lake, clusters, jobs) and Tableau
- Design data-serving architectures and APIs for analytics
- Advanced Python and SQL; guide high-performance pipelines
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