Gen AI QA - Automation Testing (Senior Engineer / Engineer) at Fractal Analytics

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

20 Jun, 26

Salary

0.0

Posted On

22 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Testing, Data Migration, ETL Testing, DW Testing, Generative AI, SQL, AWS, S3, Glue, Python, Pytest, Data Testing Automation, Data Validation, Performance Testing, Test Automation Frameworks, Defect Management

Industry

Business Consulting and Services

Description

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. About Fractal: Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings Al, engineering, and design to help the world's most admire Fortune 500 companies. Fractal has more than 3600 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work. JOB DESCRIPTION: The Quality Assurance Engineer will join our team and support the deployment and monitoring of quality standards. The QA Engineer will work with engineers across teams to develop a Quality Assurance framework for the entire organization and Gen AI platforms. As a QA Engineer you will be a part of the Data Management & Platforms team and will help drive quality throughout the entire data product lifecycle through collaboration with product and development teams, development of test cases and automation scripts, and analysis of the system to consistently deliver quality products to downstream consume. RESPONSIBILITIES: 1. 5 + yrs of experience in a Data Testing role validating different aspects of data migration, ETL & DW testing practices. 2. Knowledge or working experience in Generative AI (GenAI) technologies is preferred. 2. Extensive knowledge of SQL for testing, analysis. 3. Exposure to testing in data migration. Familiarly with diff test approaches used for migration validation 4. Thorough knowledge of testing and defect management lifecycle. 5. Clear understanding of AWS ecosystem and data-related services such as S3, Glue etc. 6. Hands on experience on Python , Pytest and other common tools used for data testing automation (Automating Data ingestion, Validation, mapping, Data reconciliation, historic/incremental loads etc). 7. Experience in automating parts of data validation (using dataframes, python setup). 8. Excellent coordination and communication skills to collaborate with the engineering, support teams, and business users to define test cases, execute data validations. 9. Contribute to performance testing (e.g., load testing) to validate data handling under stress. 10. Contribute to test automation frameworks where applicable. PREFERRED QUALIFICATIONS: Knowledge or working experience in Generative AI (GenAI) technologies like LLM, RAG are preferred. Experience working with professional software engineering practices and best practices for the full software development life cycle. Experience in Data migration projects and ETL testing. Experience in Selenium Automation testing using Python, Pytest EDUCATION: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey.

Responsibilities

The Quality Assurance Engineer will support the deployment and monitoring of quality standards, working across teams to develop a Quality Assurance framework for Gen AI platforms. This role involves driving quality throughout the data product lifecycle via test case development, automation scripting, and system analysis.