Software Development Engineer in Test)SDET
Wise Skulls llc
Dallas, United States of America
15 days ago
Role details
Contract type
Temporary to permanent Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Dallas, United States of America
Tech stack
Testing (Software)
Amazon Web Services (AWS)
Data analysis
Automation of Tests
Data as a Services
Data Validation
Data Files
Data Governance
ETL
Python
Meta-Data Management
Cloud Services
SQL Databases
Test Data
Strategies of Testing
Data Ingestion
Snowflake
Pytest
Software Version Control
SDET
Job description
- 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.
Requirements
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., * 5+ years of experience in software testing, 4+ years of Python and 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.