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Senior Data Engineer

Skills
Apache AirflowCost EngineeringData ServicesDriftModelingPlatform ArchitecturePlays
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 5+ years of data engineering experience with reliable production pipelines
  • Strong experience with Apache Airflow orchestration
  • Experience with BigQuery and DBT
  • Strong data modeling and schema design skills
  • Experience with CI/CD for data pipelines
  • Experience monitoring production data systems and incident response
  • Ability to identify and optimize performance and cost risks
  • Strong collaboration with analytics engineering data science and product teams
  • Proven ability to independently deliver medium-sized projects

Nice to have

  • Execution excellence
  • Reliability focus
  • Operational ownership
  • Cross-functional collaborator
  • Detail-oriented

Day to day

  • Design, build, test, and deploy scalable data pipelines that power analytics and product decisions.
  • Own medium-sized data platform initiatives end-to-end, from design through production deployment and operational support.
  • Monitor workflow SLAs, investigate failures, and resolve data quality or performance issues to keep systems reliable and cost-efficient.