Data QA Engineer

About Sutherland

Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise.

We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.

Sutherland

Unlocking digital performance. Delivering measurable results.

Essential Responsibilities

• Evaluate the quality of data received from data sources to ensure that it meets company standard
• Review Data Models, Data Mappings, and Architectural Documentation to execute effective system integration testing.
• Work closely with Business Analysts, Architects, Development team and Product Owners to ensure data housed in multiple source systems is loaded to target accurately.
• Develops validation scripts for automated execution, while creating actionable data quality reports that measure trends over time.
• Build new scripts and troubleshoot existing scripts. Solve complex record and run issues including complex correlation problems
• Verify and validate data accuracy, completeness, and consistency using ETL tools and SQL queries.
• Analyzes and troubleshoots erroneous results, determines the root cause of defects, logs the defects JIRA/QTest and enables defect management, including working with the development team on the resolution of Software related defects
• Drive opportunities and lead efforts to improve existing test processes or create new to increase efficiency and productivity in test case development, scheduling, or deployment
• Analyze test results and prioritize and log defects with appropriate information
• Other duties as assigned

 

Minimum Experience  

• Three (3) years of previous experience as an ETL/Data warehouse tester or developer.

• Exceptional data analysis skillset
• SQL Proficiency Strong skills in SQL for data querying, validation, and analysis.
• Experience with complex joins, subqueries, and performance optimization.
• Proficiency in Scala/Python for test automation and data manipulation.
• Experience on Snowflake and Azure Databricks
• Ability to manage multiple projects/deadlines with changing priorities.
• Experience identifying changes, driving improvements, and streamlining processes.
• Strong Knowledge of software development lifecycle
• Understanding Microsoft Azure technologies

All your information will be kept confidential according to EEO guidelines.