Description

Job Description:-

Qualifications:

  • Bachelor’s in Data Engineering, Computer Science, or equivalent.
  • 5+ years in ETL, data modeling, and integration for BI/AI systems.
  • Primary expertise in AWS: Redshift, Glue, S3, EMR, AWS Data Pipeline.
  • Secondary experience with Azure Data Factory and ADLS.
  • Strong SQL and Python skills.
  • Must have: must have at least ten (10) years of experience identifying BI use cases and creating Return on Investment (ROI) analyses, risk analysis, prioritization matrix, and implementation roadmaps
  • Must have:must have at least three (3) years of experience of designing & implementing AI or ML use cases
  • must have successfully delivered at least one (1) BI&DW system with AI capabilities
  • Preferred Qualification: Experience providing consulting services to State and/or Federal agencies in the USA.

 

Responsibilities:

  • Build and optimize pipelines using AWS Glue, Redshift, and S3.
  • Design scalable dataflows for structured/unstructured sources.
  • Support data integration for architecture and use cases in Tasks 2 & 4.
  • Ensure secure, efficient data handling aligned with governance.

Key Skills
Education

Any Graduate

Back To Jobs