Strong background in QA testing especially as pertains to data warehousing and business intelligence dashboards and visualizations
Work independently on regular Azara QA work as well as work related to specific items, incidents, or inquiries within the Azara data and dashboard environment
Responsible for general understanding of overall platform data and BI architecture in order to effectively test and verify features
Communicate clearly with the team on testing outcomes and root causes of issues
Create or modify test plans and test cases/scripts for execution
Strong technical understanding of ETL testing concepts
Responsible for validating data sources, extracting data applications of transformation logic and uploading data in target tables.
Responsible for designing, testing, and troubleshooting the client s data storage system before it goes live.
Strong technical understanding of relational database structures and SQL queries
Able to work with remotely located resources, onshore and offshore

Sounds like you? To apply you need to be:

Experience & Education

Minimum 10 years of technical QA work experience in the fields of computer science, specifically with data warehousing and integration.
Bachelor s degree in Information Science.
Proven QA Track Record in a high-volume environment
Effective written and verbal communication skills, including technical writing.
Excellent technical, analytical and organisational skills.

Technical Skills & Competencies

Understanding automated testing best practices.
Understanding of data warehousing, associated structures and SQL querying
Understanding of general business intelligence architecture
Ability to learn new tools and methodologies in this space
Able to think logically, organise workflows efficiently, and solve problems independently.
Build and maintain automated testing for React UI components, GraphQL APIs, and Java/Spring Boot services
Implement CI/CD pipeline testing and quality gates for a data platform
Reliable, self-motivated, and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment.
Experience in working on ETL automation tools like QuerySurge , Big Eval, DataQ
Understanding OOPS concepts and hands-on experience

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