Description

You will lead quality engineering efforts for data-driven workflows and ETL processes.

Responsibilities

• Develop and execute test plans, test cases, and scripts for Database and ETL workflows.
• Perform data validation by writing and executing complex SQL queries against stored procedures.
• Analyze data against mapping documents and debug to identify root causes.
• Develop automation for batch jobs, data feeds, and API/web services.
• Integrate AI-based quality gates and observability into CI/CD pipelines.
• Lead scrum teams to deliver high-quality features, releases, and stories.

Required Skills

• 5+ years of experience in quality engineering or data testing.
• Strong proficiency in SQL for complex data validation and testing procedures.
• Hands-on experience with AWS services including Glue, S3, RDS, DynamoDB, and Lambda.
• Experience testing batch jobs, data feeds, and APIs using Swagger.
• Proficiency in Python and Java programming languages.
• Experience with test frameworks such as JUnit or TestNG.
• Knowledge of Docker, Kubernetes, Snowflake, and Data Lake architectures.
• Experience with CI/CD tools like TeamCity, Octopus, or Jenkins.
• Proficiency with Git for code versioning and Jira for Agile processes.

Preferred Skills

• Experience with Generative AI for test preparation, data generation, and automation.
• Exposure to Bedrock model integration or AI-based testing methodologies.
• Cloud certifications and experience in the financial industry.

Key Skills

Education

Any Graduate