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ChimeChimeSan Francisco, CA

Senior Software Engineer, Data Engineering

Builds and scales ETL pipelines, designs data schemas, and owns data quality/governance for 10x growth. Requires 5+ years in data pipelines with SQL, Spark, Airflow, Python, and MPP databases like Snowflake/Redshift.

164k – 227k
Hybrid5+ YOEData Engineering

About the role

Responsibilities

  • Be a hands-on data engineer, building, scaling and optimizing ETL pipelines
  • Design data schemas and scale them for 10x data growth
  • Ownership of all aspects of data - data quality, data governance, schema design, data quality and security
  • Develop scalable data architecture and standardized data models that enable self-serve data insights using AI
  • Own the ETL workflows and make sure the pipeline meets data quality and availability requirements
  • Work closely with partner teams, like Data Science, Analytics and DevOps

Requirements

  • 5+ years experience transforming data to governed and lucid datasets
  • 5+ years of hands-on experience to build and deploy production-quality data pipelines
  • 5+ years of experience working with stakeholders to provide business insights
  • 5+ years of experience writing SQL, Spark, AWS Glue, EMR, Airflow, Python
  • 3+ years of hands-on experience using any MPP database system like Snowflake, AWS Redshift or Teradata
  • Track record of successful partnerships with Analytics, Data Science and DevOps teams
  • Understanding of key metrics for data pipelines and has built solutions to provide visibility to partner teams

Note: Engineers are required to participate in on-call rotation.

Compensation

Base salary: $164,000 - $227,000, plus bonus, equity, and benefits.

Skills

SQLSparkAws GlueEmrAirflowPythonSnowflakeAws RedshiftTeradataETL

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