AI Summary
Perform end-to-end functional and data testing, write complex SQL queries, and analyze test results. Collaborate with development and QA teams to validate data pipelines and transformations. Ensure smooth coordination and maintain clear test evidence.
Key Highlights
Perform end-to-end functional and data testing
Write and execute complex SQL queries
Analyze test results and communicate findings
Collaborate with development and QA teams
Maintain clear test evidence and documentation
Technical Skills Required
Benefits & Perks
Remote work
6-month contract duration
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Source Code Technologies LLC, is seeking the following. Apply via Dice today!
Position: Data Quality Analyst / Data Tester Location: Remote Work Duration: 6 Months
Mandatory Skills:
- Retail domain experience.
- Proficiency in SQL Server, with the ability to adapt queries to Oracle and Postgres platforms.
- Experience in data validation testing and troubleshooting data issues independently.
- Excellent communication and collaboration skills to work across distributed teams.
- Knowledge of automation testing frameworks or scripting (e.g., Python, Selenium, or similar).
- Exposure to Azure Data Factory (ADF) and Databricks for understanding data flow and transformation logic.
- Familiarity with data warehousing, ETL processes, and data quality frameworks.
- Perform end-to-end functional and data testing across retail business processes without dependency on detailed documentation.
- Write and execute complex SQL queries for data validation, reconciliation, and root-cause analysis across SQL Server, Oracle, and Postgres databases.
- Validate data pipelines, transformations, and reports in collaboration with development and QA teams.
- Analyze test results, identify discrepancies, and communicate findings effectively to technical and business stakeholders.
- Ensure smooth coordination with the team during EST working hours 9AM to 5PM EST.
- Maintain clear test evidence and documentation aligned with QA and audit standards.
- Participate in release cycles, data migrations, and regression testing for critical data components.