Job
Description
SDET Data Test Automation Engineer We are seeking a highly skilled SDET Data Test Automation Engineer with API and UI testing experience to join our dynamic team. The primary focus of this role is to ensure the integrity of data transformations on our data platform, which works with large datasets, and to enhance our testing capabilities with UI and API automation. The candidate will work closely with development and product teams to deliver robust, scalable and high-performing data test tools. Design, develop and maintain automated test scripts for data validation, transformation, API and UI testing Conduct data testing using Python frameworks like Pandas, PySpark, Pytest UI & API test automation using Playwright and Requests Collaborate with development and product teams to identify test requirements and strategies Analyze test results, identify issues and work on resolutions Ensure that automated tests are integrated into the CI/CD pipeline Validate large datasets to ensure data integrity and performance Work on data transformation processes, including validating rule-based column replacements and exception handling Required Skills: Strong programming skills in Python Proficiency in data manipulation and testing libraries like Pandas, PySpark, Pytest Hands-on experience with AWS services like S3, Lambda Familiarity with SQL for data transformation tasks Strong experience with API and UI test automation tools and libraries Excellent problem-solving and analytical skills Strong communication and teamwork abilities Preferred Skills: Good to have experience with databases like Trino, Iceberg, Snowflake and Postgres Good to have experience on Polars, Fugue Familiarity with CI/CD pipelines and tools like Jenkins, Docker, Kubernetes Experience with cloud tools like Kubernetes, EKS, AWS Glue, ECS Qualification We are seeking a highly skilled SDET Data Test Automation Engineer with API and UI testing experience to join our dynamic team. The primary focus of this role is to ensure the integrity of data transformations on our data platform, which works with large datasets, and to enhance our testing capabilities with UI and API automation. The candidate will work closely with development and product teams to deliver robust, scalable and high-performing data test tools. Design, develop and maintain automated test scripts for data validation, transformation, API and UI testing Conduct data testing using Python frameworks like Pandas, PySpark, Pytest UI & API test automation using Playwright and Requests Collaborate with development and product teams to identify test requirements and strategies Analyze test results, identify issues and work on resolutions Ensure that automated tests are integrated into the CI/CD pipeline Validate large datasets to ensure data integrity and performance Work on data transformation processes, including validating rule-based column replacements and exception handling Required Skills: Strong programming skills in Python Proficiency in data manipulation and testing libraries like Pandas, PySpark, Pytest Hands-on experience with AWS services like S3, Lambda Familiarity with SQL for data transformation tasks Strong experience with API and UI test automation tools and libraries Excellent problem-solving and analytical skills Strong communication and teamwork abilities Preferred Skills: Good to have experience with databases like Trino, Iceberg, Snowflake and Postgres Good to have experience on Polars, Fugue Familiarity with CI/CD pipelines and tools like Jenkins, Docker, Kubernetes Experience with cloud tools like Kubernetes, EKS, AWS Glue, ECS
