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Senior Analytics Engineer

📅 Jul 3
SQLDbtPythonBigquery

📜 Description

  • Design and own the Insights semantic layer, establishing canonical definitions for tables, columns, and metrics behind each report.
  • Standardize core metrics and reconcile them across data sources such as Amplitude.
  • Migrate production report logic into governed, tested dbt models, enhancing test coverage.
  • Improve reliability of business-critical pipelines through proactive monitoring and resilience.
  • Partner with customers and internal teams on data quality and new environment launches.
  • Contribute to the design of a Kimball-style dimensional warehouse for BI and emerging analytics.

🛠️ Requirements

  • 4+ years in a modern data stack with advanced SQL and deep dbt expertise.
  • Proficient in production-quality Python and comfortable diagnosing pipeline failures.
  • Skilled in dimensional modeling (Kimball, slowly changing dimensions).
  • Strong sense for data quality and ability to validate results.
  • Deep experience with BigQuery and cloud data warehousing.

Benefits

  • Flexible PTO
  • Wellness benefits starting on your first day
  • Technology and work-from-home reimbursement
  • Flexible work schedules

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