Senior Data Warehouse QA Engineer / ETL Test Lead (Commercial Lending)|| Remote
Why This Role Stands Out
This remote role offers a fantastic opportunity to lead critical data warehouse QA initiatives and enhance your skills in ETL testing and automation within the commercial lending sector. You'll thrive here if you possess extensive experience with Teradata, Informatica, and Python scripting, and are passionate about ensuring data integrity in large-scale systems. Embrace this chance to make a significant impact and advance your career.
Quick Overview
Job Description
Job Description:
Required Qualifications
- 8+ years of experience in Data Warehouse and ETL Testing.
- Strong hands-on experience with Teradata.
- Strong hands-on experience with Informatica.
- Experience designing and executing complex ETL validation and reconciliation testing.
- Experience automating data and API testing processes.
- Strong Python scripting capabilities.
- Experience validating large-scale enterprise data warehouses and data marts.
- Strong SQL skills with the ability to analyze large datasets and complex transformations.
- Experience with API testing and automation frameworks.
- Understanding of data architecture concepts, data lineage, metadata, and enterprise data governance.
- Extensive experience with defect management, test planning, and quality engineering best practices.
- Experience working within both Agile and Waterfall environments.
- Excellent stakeholder communication and collaboration skills.
Required Domain Experience
- Commercial Lending / Commercial Loans
- Corporate Finance
- Accounting & Financial Reporting
- CFO Organization Support Functions
- Loan Operations and Lending Processes
- Financial Data Warehousing and Reporting
Preferred Qualifications
- Experience supporting Commercial Lending System (CLS) implementations or modernizations.
- Experience with enterprise workflow and process automation initiatives.
- Experience validating AI-driven, analytics, or reporting solutions within financial services environments.
- Familiarity with data lake, cloud, and modern enterprise data platforms.
- Experience working within banking, financial services, or commercial lending organizations.
Skills
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