Job Description

Data SDET (ETL Tester with Automation)

Key skills: ETL, Automation, Kafka, AWS & Python

Location: Dallas, TX

Mode: Hybrid - 3 days a Week Onsite

Shift - General

We are seeking a highly skilled Data SDET with expertise in ETL testing, test automation, and strong knowledge of Kafka, AWS, and Python. The ideal candidate will be responsible for designing, developing, and executing automated tests for data pipelines, ensuring data integrity, and validating complex data transformations across distributed systems.

Key Responsibilities:

• Develop and maintain automated test frameworks for ETL processes and data pipelines.
• Perform ETL testing to validate data extraction, transformation, and loading.
• Create Python-based automation scripts for data validation.
• Test real-time data streaming using Kafka.
• Validate workflows in AWS environments (S3, Glue, Redshift, Lambda).
• Collaborate with engineering teams to ensure data quality and reliability.
• Integrate testing into CI/CD pipelines for continuous delivery.

Required Skills:

• 3+ years in ETL testing and data validation.
• Strong Python programming skills.
• Hands-on experience with Kafka and AWS services.
• Knowledge of SQL and relational databases.
• Familiarity with test automation frameworks (PyTest, Robot Framework).
• Experience with CI/CD tools (Jenkins, Git).

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