Job Title: ETL Developer Location: Austin, TX 78751 - Hybrid Duration 12 months+ We are seeking a highly experienced ETL/Data Quality Engineer with deep expertise in Informatica, data integration, SQL, testing, and Python scripting. The ideal candidate will have a strong background in data analytics, performance management systems, and test automation. You will play a key role in designing and implementing ETL processes, ensuring data quality, and supporting the development and validation of data analytics platforms, including those leveraging AI. Minimum Requirements Experience (8+ Years Required in the Following): • ETL Development: Designing and developing mappings and workflows to automate ETL processes using Informatica IICS, IDMC, or PowerCenter. • Data Integration: Acquiring and integrating data from diverse sources such as Snowflake, Oracle, SQL Server, Excel, Access, and PDF into visualization platforms like Tableau. • SQL Scripting: Writing complex, optimized SQL queries for data analysis and transformation. • Data Analysis: Acting as a Data Analyst in performance management, analytics, or data warehousing projects. • Technical Documentation: Creating clear technical documents and diagrams using Visio, Erwin, and the Microsoft Office Suite. • Python Scripting: Developing Python scripts for data validation, automation, and quality assurance. • Defect Management: Identifying, documenting, and managing defects; collaborating with development teams for resolution. • Testing: Creating and executing test plans, test cases, and scripts based on requirements to ensure quality and performance. • Risk Assessment: Assessing and communicating potential risks related to testing and implementation. • Soft Skills: Strong analytical skills, self-motivation, time management, and ability to work independently and in teams. • Professionalism: Maintaining confidentiality and handling sensitive information with discretion. Preferred Qualifications • Automation Frameworks: Experience improving or maintaining automation frameworks to enhance test coverage and features. • Test Suites: At least 4 years’ experience in building or using automated regression and functional test suites, ideally with AI enhancements. • AI & Observability: Familiarity with AI platforms and observability tools for validating AI-integrated products and systems. • Innovation: Demonstrated ability to drive innovation in software quality or test automation strategies.