Senior Python Developer in Data Engineering Team, Remote
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Job description
Location:
- Design, build, and optimize ETL/ELT pipelines that transform customer and internal data into actionable datasets
- Partner with Markets and Product teams to develop reporting tools and dashboards that guide business strategy and serve customer needs
- Build and maintain data lakes and feature stores used by ML Engineering team to develop ML solutions for subrogation
- Strong proficiency inPython and SQL
- Experienced inSparkor similar distributed processing technologies
- Deep experience withAWSdata services (Glue, S3, Step Functions, Athena, EMR, DynamoDB, SQS)
- Experience working with data streaming technologies (Kafka, Spark Streaming, etc.)
- Experienced in data modeling (preferably in finance or insurance)
- Familiarity with MongoDB and document-oriented data sources
- Experience with data lake patterns: medallion architecture (bronze/silver/gold), schema management, incremental processing
- Comfort with IaC (CloudFormation or Terraform)
- Ability to debug data quality issues across distributed systems
- Experience implementing data quality frameworks (e.g., Great Expectations) to ensure pipeline reliability and data integrity
Details
Originally posted on Himalayas
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