SDET – Data Product Testing & Automation

Client Mandated requirements:

• Candidate is ready for 3 days WFO
• Candidate work location should be Dallas, TX location/Tampa, FL Location
• Interview Round/Mode: 2 Rounds of Interview; Round 1 - Virtual; Round 2 - In Person Interview conducted at client Dallas or Tampa Location.

Overview:
We are seeking a highly skilled and motivated Software Development Engineer in Test (SDET) to join our Data Services team. This role is critical to ensure the quality and reliability of complex data products by designing and implementing Pytest, a robust Python-based testing framework. The ideal candidate will bring deep expertise in data sets, Python, and SQL.

Key Responsibilities:

• Design and develop a scalable Python-based test automation framework, Pytest for validating data pipelines and reports.
• Collaborate closely with data engineers, product owners, and QA teams to define effective test strategies and ensure comprehensive coverage.
• Build and maintain test data sets tailored to individual product requirements and make them available to SDETs for functional testing.
• Develop and maintain automated test scripts for data ingestion, transformation, and output validation.
• Perform in-depth data analysis and validation using SQL across diverse data sources.
• Integrate automated tests into pipelines to enable continuous validation and early detection.
• Analyze test results, identify root causes, and work with development teams to drive resolution.
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Required Qualifications:

• 5+ years of experience in software testing, with a strong focus on data and ETL pipelines.
• Proven proficiency in Pytest for test automation and scripting.
• Solid experience with SQL for data validation and analysis.
• Familiarity with version control systems and CI/CD tools.
• Strong analytical thinking, problem-solving abilities, and communication skills.
• Knowledge of cloud data platforms such as Snowflake and AWS.
• Exposure to data governance, data quality, and metadata management tools.