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Lead Data Engineer
Skills
Cloud ComputingSQLAnalytical SkillsBusinessBusiness RequirementsData EngineeringEngineering
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
