Data Engineer

What you’ll do

• Build the data-serving layer: curated datasets, marts, and product-ready tables
  • Develop incremental / micro-batch pipelines and support CDC near-real-time ingestion (AWS DMS)
  • Design BI-friendly data models (star schema) and manage schemas
  • Build ETL/ELT in Python (Polars) and serve/query via Athena and/or Redshift
  • Implement data quality + observability (freshness, completeness, duplicates, schema drift, anomalies)
  • Orchestrate with Airflow and AWS-native tools (e.g., Step Functions)
  • Contribute to CI/CD, IaC, architecture discussions, and best practices

What we’re looking for

• 4+ years building and operating production data pipelines
  • Strong Python (async/concurrency is a plus)
  • Strong AWS across services like: S3, Glue, Athena, Redshift, Lake Formation, CloudWatch, DMS, Lambda, Step Functions, SQS/SNS, ECS, DynamoDB (+ CloudFormation)
  • Experience with lakehouse tables (Delta or similar), schema evolution, partitioning, compaction, upserts/merge
  • Solid data modeling skills (star schema) and commitment to testing & data quality
  • Experience running AWS DMS in production (monitoring/troubleshooting)
  
  What we offer

• A competitive salary

• Work in a friendly and diverse team

• private health insurance
  • gym membership
  • learning opportunities
  • flexible benefits

• team events