Senior Data Engineer - Data Platform

📋 Description

• Own production data systems and domains from ingestion through delivery.
• Design ingestion patterns that handle incomplete, duplicated, delayed, malformed, and changing
• Define the contracts between source systems, ingestion, transformation, and downstream consumers.
• Design data models with clear grain, keys, history, and definitions so the same question doesn't
• Evolve schemas, pipelines, and datasets safely, with retries, backfills, and replay that don't
• Improve pipeline performance, observability, and failure handling so you can tell when something is

🎯 Requirements

• Bachelor's degree at a minimum.
• 5+ years building production data systems.
• Strong SQL and data modeling fundamentals, including grain, keys, history, dimensional modeling
• Experience designing and operating batch and asynchronous data pipelines, including the failure
• Experience with a cloud data platform and an understanding of storage, query performance, and cost.
• Strong instincts around data correctness, including validation, idempotency, late and duplicated