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redshift snowflake sql python airflow๐ Description
- Be a hands-on data engineer, building, scaling and optimizing ETL pipelines
- Design data schemas and scale them for 10x data growth
- Own data quality, governance, schema design, security
- Develop scalable data architecture and models enabling self-serve insights with AI
- Own the ETL workflows and ensure quality and availability
- Collaborate with partner teams like Data Science, Analytics and DevOps
๐ฏ Requirements
- 5+ years transforming data to governed datasets
- 5+ years building and deploying production data pipelines
- 5+ years partnering with stakeholders for business insights
- 5+ years writing SQL, Spark, AWS Glue, EMR, Airflow, Python
- 3+ years with MPP databases like Snowflake or Redshift
- Track record partnering with Analytics, Data Science and DevOps teams
๐ Benefits
- Four days in-office with Fridays remote for near offices
- In-office perks: backup child/elder/pet care and subsidized commuter benefit
- 401k match plus medical, dental, vision and disability benefits
- Generous vacation policy and company-wide days off
- 1% of time off to support local community organizations
- Annual wellness stipend and parental leave programs
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