Description

• At least ten (10) years of hands-on experience with Power BI to write complex DAX calculations, develop interactive dashboards, and implement best practices for data visualization.

• At least ten (10) years of experience in writing complex SQL queries, SQL performance turning, creating E-R diagrams, and designing efficient data models for large-scale Data Warehouse systems.

• At least five (5) years of programming experience in Python, Java, or R for data processing, automation, and working with large datasets. "

• At least three (3) years of experience in Amazon Redshift or Snowflake for scalable BI solutions "

• At least two (2) year hands-on experience with LLMs (GPT, Claude, Gemini), Auto-ML tools, or NLP for generative AI use cases, predictive analysis, or data forecasting. "

• Hands-on experience of providing enterprise level data architecture and/or data modeling services at a public sector entity such as local, State or Federal agency. "

• Hands-on experience in developing ETL pipelines with AWS ETL tools such as AWS Glue, AWS Step functions, and AWS Crawlers. "

• AWS professional certifications. CalSTRS may request a copy of the certifications. "

• A bachelor’s degree in computer science, computer engineering, or related fields from an accredited or government-sanctioned college/university. CalSTRS may request a copy of degree. "

• The proposed project person will be able to adhere to the hybrid working model by working on-site 2-3 days per week at client Headquarters, West Sacramento, CA. If no, provide a short explanation

Education

Bachelor's degree