Senior Data Engineer

Alight Solutions

Hybrid
5-8 years hadoop ecosystem experience
Strong pyspark and spark optimization skills
Aws data stack expertise (s3, glue, emr)
The role involves building scalable, secure, and high-performance data pipelines spanning both legacy Hadoop clusters and modern AWS cloud services

Job Summary

  • The role involves building scalable, secure, and high-performance data pipelines spanning both legacy Hadoop clusters and modern AWS cloud services.
  • Alight Solutions emphasizes a culture where employees champion people, grow with purpose, and act with integrity to improve lives through unified benefits ecosystems.
  • Candidates will provide technical leadership, guide peers, and ensure operational excellence while optimizing costs and ensuring regulatory compliance across hybrid data platforms.

Matching Summary

The role involves building scalable, secure, and high-performance data pipelines spanning both legacy Hadoop clusters and modern AWS cloud services.

Skills & Requirements

Must-have

  • 5-8 years Hadoop ecosystem experience
  • Strong PySpark and Spark optimization skills
  • AWS data stack expertise (S3, Glue, EMR)
  • ETL pipeline design and maintenance
  • Airflow or Control-M orchestration
  • Data modeling and flow diagram creation

Nice-to-have

  • Knowledge of Miro for data flow diagrams
  • Healthcare domain knowledge
  • AWS certifications in Data Engineering
  • Experience with serverless patterns
  • Containerization with Docker/ECS/EKS

Key Requirements

  • 5-8 years of relevant experience
  • Proficiency in Scala or Python scripting
  • Strong SQL skills in Hive and Impala
  • Experience with CI/CD and Git workflows
  • Understanding of AWS networking and security

Work Rights

Must have work authorization without future visa sponsorship

Tailored Resume

Cover Letter