Description

You will build and optimize data pipelines and design scalable dataflows for structured and unstructured sources.

Responsibilities

• Build and optimize pipelines using AWS Glue, Redshift, and S3.
• Design scalable dataflows for structured and unstructured data sources.
• Support data integration for specific architecture and use cases.
• Ensure secure and efficient data handling aligned with governance.
• Develop implementation roadmaps, risk analyses, and prioritization matrices.

Required Skills

• 5+ years of experience in ETL, data modeling, and integration for BI/AI systems.
• 10+ years of experience identifying BI use cases and creating ROI analyses.
• 3+ years of experience designing and implementing AI or ML use cases.
• Proven track record of delivering at least one BI&DW system with AI capabilities.
• Expertise in AWS services including Redshift, Glue, S3, EMR, and AWS Data Pipeline.
• Strong proficiency in SQL and Python.
• Experience with Azure Data Factory and ADLS.
• Bachelor’s degree in Data Engineering, Computer Science, or equivalent.

Preferred Skills

• Experience providing consulting services to State and/or Federal agencies in the USA.

Key Skills

Education

Any Graduate