Description

You will lead Quality Engineering efforts for data workflows.

Responsibilities

• Create and execute test plans, test cases, and test scripts for Database and ETL Workflows.
• Analyze data, compare it against mapping documents, and debug to identify root causes.
• Test and automate development for Batch Jobs, Data Feeds, API/Web services, and Swagger definitions.
• Own the integration of AI-based quality gates and observability into CI/CD pipelines.
• Apply AI low code/no code automation techniques to improve test coverage.

Required Skills

• 5+ years of hands-on experience in Quality Engineering.
• Proficiency in SQL, including writing complex queries for data validation and testing SQL procedures.
• Hands-on experience with AWS services: Glue, S3, RDS, DynamoDB, Lambda.
• Experience with Java and Python for testing and automation development.
• Familiarity with test frameworks such as JUnit and TestNG.
• Experience with CI/CD tools like TeamCity, Octopus, or Jenkins.
• Experience with version control using GIT.
• Experience testing web applications and APIs.
• Knowledge of Docker and Kubernetes, and familiarity with Snowflake or Data Lake environments.

Key Skills

Education

Any Graduate