高级数据工程师

Senior Data Engineer owns the data ingestion, transformation, and quality infrastructure that forms the foundation of a top-tier consulting firm's internal AI and data platform. The data layer is the first unlock for everything else on the roadmap. Nothing downstream in analytics, synthesis, or AI automation works without clean, well-structured client data.

3 to 5+ years of data engineering experience building production ETL or data pipeline systems (seniority calibrated to experience level within that range). Strong Python skills for data processing (pandas, polars, or equivalent), with experience in schema validation libraries (Pydantic, Great Expectations, or equivalent). Solid relational database experience: data modeling for analytical and transactional workloads and query optimization. Hands-on experience ingesting and normalizing messy, unpredictable real-world datasets from heterogeneous sources. Experience automating data pipelines end-to-end: ingestion, transformation, load, validation, and alerting, with the goal of eliminating manual intervention. Working knowledge of cloud storage and data services.