Project Description:
The project is for one of the biggest food corporations.
Responsibilities:
- As a Data QE - you will be responsible for validating data sources; application of transformation logic and persistence/validations in the target systems.
- Work closely with product managers and developers to understand product requirement and design.
- Develop and execute a comprehensive data-centric test plan aligned with the organization's goals and objectives.
- Develop a comprehensive automation framework for data platforms covering spectrum of applications onboarded.
- Document detailed functional and integration test cases. Coordinate with the developer; product manager and other business stakeholders on test plan; test case review; identify missing and complex test case scenarios.
- Create accurate test-data envisioning the operation of the platform and the applications in place
- Collaborate with engineers from across the spectrum to ensure test coverage and automation end-to-end.
- Analyse server logs; DB and provide other relevant details with a bug.
- Writing queries to extract data for Testcase data comparison
- Design and Develop test automation framework; Improvise the existing framework to accommodate updates.
- Develop mock/stub to test the functionality of a component in isolation.
Mandatory Skills:
- 5+ years of experience in Quality Engineering with experience in Data Platform Testing.
- Strong knowledge of software QA methodologies; tools; and processes.
- Hands-on experience with cloud ecosystem - Azure and it's services like - Azure storage; Data Bricks; Azure Data Factory; Azure SQL Databases and other SQL-based services.
- Solid Knowledge of SQL; NoSQL; and pub-sub technologies.
Nice-to-Have Skills:
- Hands-on coding experience in Python coding/scripting and creating test frameworks using Python. Additional experience in Java.
- Proficiency in automation tools; scripting languages; and workflow automation platforms.
Languages:
• English: B2 Upper Intermediate
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