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Data Engineer

Skills
SQLAWS LambdaAmazon AuroraAmazon Web ServicesApacheExtractTransform
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 4+ years of data engineering or related experience with SQL as a core skill
  • Expertise in complex production-grade SQL including window functions recursive CTEs lateral joins and advanced aggregations
  • Proven query optimization experience using execution plans bottleneck analysis and performance tuning
  • Hands-on experience with AWS data services especially Aurora Redshift Athena and S3
  • Experience building scalable ELT ETL pipelines with SQL transformation at the core
  • Proficiency in dbt for transformation testing and documentation
  • Experience with Python for orchestration and data processing
  • Familiarity with Airflow or AWS MWAA
  • Understanding of data quality access control and governance
  • Experience in GitLab or similar CI CD environments

Nice to have

  • Healthcare experience
  • Clinical trials exposure
  • AWS certification
  • Terraform knowledge
  • Streaming pipeline exposure

Day to day

  • Write and optimize complex SQL across large clinical datasets on AWS.
  • Build and support SQL-driven ELT and ETL pipelines using dbt and AWS services.
  • Partner with technical and clinical teams to deliver reliable data products reporting and governance.