Senior SDET

• Experience: 47 years in quality assurance or test automation, with a focus on data engineering or big data platforms.
• Technical Proficiency:
• Experience testing data pipelines and workflows on platforms such as Apache Airflow or similar tools.
• Proficiency in Python, with the ability to write and maintain test automation scripts.
• Hands-on experience with AWS services such as S3, Glue, Lambda, and Redshift.
• Data Validation Skills: Strong understanding of data modeling, ETL processes, and data quality assurance best practices.
• Testing Tools: Experience with test automation frameworks (e.g., PyTest, Robot Framework) and performance testing tools (e.g., JMeter).
• Analytical Skills: Strong problem-solving skills and attention to detail for troubleshooting issues and validating data outputs.

Preferred Skills

• Familiarity with tools like Apache Iceberg or Looker for data reporting and analysis.
• Experience with CI/CD pipelines and integrating automated tests into deployment workflows.
• Passion for driving innovation in testing methodologies for data systems.