Sr. Data Engineer

Title: Sr. Data Engineer

Location: Dallas, TX

Initial 12-month contract+ extensions

Description:

• Review business requirements, user stories and functional specs to write test plans, test cases and test scripts.
• Run manual functional, integration, regression, system and user acceptance (UAT) tests.
• Check forecasting outputs, allocation logic, replenishment orders and inventory calculations against business rules.
• Test core merchandising functions such as item setup, pricing, vendor management, purchase orders, hierarchies and promotions.
• Confirm data flows correctly between the merchandising, FAR, warehouse and point-of-sale systems.
• Use AI tools to create, organize, cleanse and check large test data sets.
• Use AI to find data anomalies, inconsistencies and quality issues in forecast and inventory data.
• Check that AI-driven forecasts and recommendations are accurate, reasonable and consistent with business rules.
• Log, track and retest defects in a defect management tool, and set their severity and priority.
• Support UAT by working with business users and documenting the results.
• Keep traceability between requirements, test cases and defects.
• Take part in Agile ceremonies and give test status updates and quality metrics.

Required Skills/Years

12+ years experience must

• 6+ years of manual software testing experience, preferably with retail or merchandising systems.
• 6+ years of experience working on Data Management,Data Engineering
• Data management skills with AI, including:
  ◦ Using AI tools (such as Microsoft Copilot, ChatGPT, Perplexity or similar) to prepare, analyze and validate data.
  ◦ Understanding data quality, data governance and data integrity principles.
  ◦ Checking AI and machine learning outputs, such as demand forecasts, for accuracy and bias.
  ◦ Handling sensitive data responsibly and following company AI and data security policies.
• Knowledge of forecasting, allocation, replenishment or supply chain processes.
• Skill in writing clear test cases and defect reports.
• Basic SQL skills for checking data.
• Experience with test management tools such as Jira, Azure DevOps or ALM.
• Strong analytical, communication and problem-solving skills.

Preferred Skills/Years

• Experience with core merchandising platforms (such as Oracle Retail, SAP, Blue Yonder or similar).
• ISTQB or a similar QA certification.
• Experience with Excel, Power BI or other data analysis tools.
• Experience in Agile/Scrum environments.
• Understanding of retail inventory and planning metrics.

for a quick response please respond with resumes and contact details to: