Description

Summary

  • The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence.
  • This role focuses on data optimization, workflow automation, and ensuring reliable data operations in a cloud-based environment

Minimum Qualifications

  • 8+ years of IT experience, with 5+ years in:
  • Python, PySpark, and SQL for big data processing
  • Data lakes (Iceberg format), ETL (Informatica), and data quality
  • AWS services: S3, Glue, Redshift, Lambda, EMR, Airflow, Postgres
  • BASH/Shell scripting
  • Experience with healthcare data and leading data teams
  • Agile development experience

Responsibilities

  • Design and maintain scalable data pipelines and architectures
  • Lead data projects and ensure best practices
  • Optimize data systems for analytics and reporting
  • Ensure data quality and system reliability in production environments

Key Skills
Education

Any Graduate

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