Job Description

Role summary
Build robust, scalable data pipelines and platforms that deliver clean, reliable, and timely data for analytics and AI.

Key responsibilities

  • Design ELT or ETL pipelines and orchestrate with Airflow or Prefect.
  • Model data for analytics, implement CDC, and manage schemas.
  • Add data quality tests, lineage, and cataloging.
  • Tune warehouses for performance and cost.
  • Secure data with role-based access and compliance controls.

Minimum qualifications

  • 3+ years in data engineering with strong SQL and Python.
  • Experience with BigQuery or Snowflake or Redshift and an orchestrator.
  • Version control and CI for data.
  • Basic understanding of dbt or similar transformation frameworks.

Preferred

  • Streaming with Kafka or pub/sub.
  • Terraform and cloud data services.
  • Great Expectations or s...

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