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sql spark data ingestion data streaming delta lake📋 Description
- Lead and drive technical solutions for complex customer issues.
- Deep dive into production data pipelines, AI workflows, streaming data ingestion.
- Expert in Data & AI architectures with SLA-focused production work.
- Collaborate with product engineering and customer teams to resolve downtime.
- Guide customers to build performant, reliable Databricks architectures.
- Mentor others and be a deep technical expert within the team.
🎯 Requirements
- 8+ years designing, building, testing, maintaining data pipelines; Spark required.
- SQL databases/warehouses (Oracle, Teradata, SQL Server, MySQL) and ETL tools.
- 5+ years on two+ Big Data techs (Spark/Hadoop; Delta Lake; data ingestion/streaming).
- Around 3 years as a technical lead on a Data & AI Engineering team.
- Technical degree or Bachelor's in CS or related; hands-on cloud (AWS/Azure/GCP) preferred.
- U.S. Citizenship required; open to United States citizens on U.S. soil.
🎁 Benefits
- Pay range transparency; compensation varies by location; see linked page.
- Benefits and perks details at the regional page; visit the Databricks benefits page.
- Pay zone mapping and regional benefits information available via linked resources.
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