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.
- 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.
- Streaming with Kafka or pub / sub.
- Terraform and cloud data services.
- Great Expectations or similar testing frameworks.
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