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This role focuses on building and evolving Baxter Planning's data lake platform to support analytics and data-driven products. You will design reliable data pipelines and curated datasets, ensuring data quality and readiness for business intelligence.
Baxter Planning
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What you’ll do
What we’re looking for
• 4+ years building and operating production data pipelines
• Strong Python (async/concurrency is a plus)
• Strong AWS across services like: S3, Glue, Athena, Redshift, Lake Formation, CloudWatch, DMS, Lambda, Step Functions, SQS/SNS, ECS, DynamoDB (+ CloudFormation)
• Experience with lakehouse tables (Delta or similar), schema evolution, partitioning, compaction, upserts/merge
• Solid data modeling skills (star schema) and commitment to testing & data quality
• Experience running AWS DMS in production (monitoring/troubleshooting)
What we offer
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Baxter Planning