Build Meeru AI’s data foundation with expert SQL and Python for production pipelines, connectors, and curated models across enterprise finance systems. As a Staff Data Engineer, you will own major data-platform subsystems end to end. You will transform warehouse data, integrate customer systems, and maintain reconciliation and lineage. Your work feeds analytics and AI layers for finance teams requiring auditable, reliable numbers. Key Responsibilities:
Build robust production-grade data pipelines and curated models Develop source integrations for new customer systems Implement complex warehouse transformations and incremental dbt models Maintain reconciliation and lineage back to source data Review work and mentor senior and mid-level engineers Requirements:
Seven or more years in data engineering Expert SQL and data modeling across cloud warehouses Production experience building and maintaining dbt projects Solid Python for pipeline code, tests, and tooling Experience with Airflow or Dagster orchestration Apply your SQL, dbt, Python, and data-engineering ownership to Meeru AI’s auditable finance platform.
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