Related skills
aws sql python databricks delta lake📋 Description
- Own end-to-end data platform architecture for ingestion, storage, and serving.
- Architect real-time streaming with AWS Kinesis and Spark.
- Lead lakehouse design and data serving layers for trusted datasets.
- Set standards for high performance SQL and Spark workloads.
- Drive platform modernization and cross team simplification.
- Mentor engineers and align with product analytics teams.
🎯 Requirements
- Real-time, distributed data systems with Kinesis and Spark Structured Streaming.
- Databricks on AWS (Delta Lake) and performance tuning.
- Data serving architectures and APIs with clear data contracts.
- Python and SQL proficiency for scalable data pipelines.
- Experience with lakehouse design and canonical event schemas.
- Ability to lead platform initiatives from architecture to production and reliability.
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