Description

You will design and implement enterprise-level data architecture and modeling services within a public sector environment.

Responsibilities

• Develop complex DAX calculations and interactive Power BI dashboards using visualization best practices.
• Design efficient data models and E-R diagrams for large-scale Data Warehouse systems.
• Build and manage ETL pipelines using AWS Glue, AWS Step Functions, and AWS Crawler.
• Implement generative AI use cases and predictive analysis using LLMs, Auto-ML, or NLP.
• Optimize SQL performance and write complex queries for large datasets.

Required Skills

• 10+ years of hands-on experience with Power BI and complex DAX.
• 10+ years of experience in SQL, including performance tuning and E-R diagramming.
• 5+ years of programming experience in Python, Java, or R.
• 3+ years of experience with Amazon Redshift or Snowflake.
• 2+ years of hands-on experience with LLMs (GPT, Claude, Gemini), Auto-ML, or NLP.
• Proven experience in enterprise data architecture for local, State, or Federal agencies.
• Experience developing ETL pipelines with AWS Glue, Step Functions, and Crawler.
• AWS professional certifications.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.

Preferred Skills

• Experience with data forecasting and predictive analysis.

Key Skills

Education

Bachelor's degree