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Lead Data Engineer

Skills
Cloud ComputingSQLAnalytical SkillsBusinessBusiness RequirementsData EngineeringEngineering
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 4+ years of professional experience in data engineering
  • Hands-on experience with BigQuery or comparable cloud warehouse
  • Experience with dbt and an orchestration tool like Dagster or Airflow
  • Strong SQL skills
  • Fluency in Golang Python or another common data engineering language
  • Track record of iteratively improving modernizing data systems
  • Strong communication and collaboration skills across technical and business teams

Nice to have

  • Startup experience
  • Legacy system improvement
  • Data observability familiarity
  • Data science collaboration
  • ML feature pipelines

Day to day

  • Own and operate the data warehouse pipelines and transformation layer
  • Design build and maintain scalable reliable pipelines that ingest internal and third-party data
  • Partner with data scientists analysts and product leaders to deliver clean documented datasets and improve query performance
  • Modernize existing data systems thoughtfully by assessing current infrastructure prioritizing improvements and implementing migrations
  • Implement data quality monitoring alerting and documentation practices that strengthen trust across the organization