MINIMUM TECHNICAL QUALIFICATIONS:

• At least 1 year of hands-on experience in using Generative AI to successfully deliver data analytics solutions.
• At least 5 years of hands-on experience of designing and developing data analytics, and Business Intelligence dashboards with Microsoft (MS) Power BI.
• At least 5 years of experience of creating Structural Query Language (SQL) queries, optimizing SQL query performance, and modifying SQL elements such as procedure, functions, and views with a solid understanding of database principles.
• At least 3 years of experience of developing data solutions with Snowflake or Amazon Web Services (AWS) Redshift data warehouses.

DESIRABLE TECHNICAL QUALIFICATIONS:

• Bachelor’s degree or equivalent experience in Computer Science, Information Technology, or similar field of study. CalSTRS reserves the right to request a copy of the degree.
• At least five years of experience with Agile methodologies and Software Development Life Cycle.
• At least five years of experience with MS Power BI Data Analysis Expressions (DAX) to create queries, measures, and data models.
• At least 3 years of experience in State agency or Financials or Investment portfolios or other regulated industry highly preferred.
• Ability to use business knowledge and expertise to build analytical data models and reports that can serve business users.
  About Estrada Consulting Incorporated:
  Estrada Consulting, Inc. (ECI) delivers technology-enabled services and solutions to clients all over the USA and British Columbia. We provide system integration, custom application development, data warehouse and business intelligence, project management, custom reporting solutions and consulting services to mid-size and large enterprises in all major industries. The Company headquarters is in Sacramento, California, and was established in year 2000. Visit http://www.estradaci.com/ to learn about our projects, managed services, awards and certifications delivering value for a range of businesses and government agencies

Please refer the Job description for details