Roles and Responsibilities

• Developing testing strategy, test plan and test cases to support testing and execution of data pipelines for the enterprise data platform on Google GCP Cloud
• Ensures adherence to testing standards and best practices
• Communicate effectively with multiple levels of stakeholders within the organization
• Collects testing metrics, reports status as defined in test plan with supporting data
• Accountable for test data management, collection of requirements, evaluation of available data in repositories
• Understands and clearly articulates Known Issues, Defects and ETL Automation Process
• Ensures traceability between requirements, features, user stories, test plans and outcomes
• Participate in troubleshooting issues with relevant teams to achieve root cause identification and resolution
• Document, track and escalate issues, as appropriate
• Support production deployment of applications and perform validation testing
• Test execution in development, test, and production environments for each release in the iterative development lifecycle
• Design and create test cases and scripts to address business and technical use cases

Required Experience/Skills

• 6+ years of experience in IT Quality Engineering with at least 3 years in tools testing.
• Experience in testing Google Cloud services (BigQuery, Composer etc.), data integration tools like Talend and data warehousing data ingestion frameworks testing to include: Core knowledge of ETL testing, SQL writing, ETL workflow and rule validation experience.
• Understanding of CI/CD tools like Bitbucket, Jenkins server 
• 2 years of experience with Cloud Technologies like GCP, AWS, Azure.
• Strong experience in developing test strategy, test scripts, input test data, and expected results for one or more test plans, including component, assembly, product, performance, user acceptance and technical architecture tests.

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