
Eligibility Criteria
Bachelorโs degree in Computer Science, Information Technology, Electronics, or any related engineering discipline; minimum 60% aggregate (or CGPA 6.5/10); graduating batch 2024โ2025; no active backlogs at the time of joining; strong academic record in programming, databases or dataโanalytics subjects.

Job Description & Key Responsibilities
Deloitte is one of the worldโs leading professional services firms, offering consulting, audit, tax and advisory services to a diverse set of clients across industries. In India, Deloitte operates through a network of member firms that combine global expertise with deep local market knowledge, enabling them to deliver innovative solutions that drive business transformation. The firm places a strong emphasis on purposeโdriven work, inclusive culture and continuous learning, making it a preferred destination for fresh talent looking to build a longโterm career in analytics and technology.
The role of a BTA Quality Engineer in the Analytics Horizontal team is an entryโlevel position designed to groom fresh graduates into competent quality professionals. As a Quality Engineer, you will be responsible for ensuring that analytics deliverables โ ranging from reports and dashboards to data pipelines, APIs and AIโenabled applications โ meet the highest standards of reliability, accuracy, security and performance. You will work closely with developers, analysts, product owners and business stakeholders, translating functional requirements into test scenarios, executing manual and exploratory tests, validating data integrity, and documenting defects. The position offers structured training on analytics platforms, testing tools and automation frameworks, providing a solid foundation for a career in enterprise quality engineering.
Key responsibilities include:
1. Collaborate with quality leads, developers and analysts to understand user stories, acceptance criteria and business rules.
2. Design and maintain detailed test scenarios, test cases, test data sets and requirement traceability matrices.
3. Execute functional, integration, system, regression, UI, API and endโtoโend testing for reports, dashboards, data pipelines and AI applications.
4. Perform SQLโbased data validation, sourceโtoโtarget comparisons and reconciliation across databases and analytics platforms.
5. Test ETL/ELT workflows, file and API integrations, scheduled jobs and cloudโbased data processes.
6. Validate AIโenabled features for correctness, relevance, guardrails and error handling using approved test data.
7. Log, prioritize, track and retest defects with clear reproduction steps and business impact.
8. Assist in building reusable automation scripts for API, UI and dataโvalidation testing under guidance.
9. Participate in Agile ceremonies, defect triage, testโstatus reporting and releaseโreadiness activities.
10. Maintain test suites, quality metrics and documentation while suggesting improvements to test coverage.
Tech stack exposure includes SQL, Python, Azure DevOps/Jira, Postman, Selenium/Playwright, Power BI/Qlik, AWS services (S3, Glue, Redshift, Lambda) and basic cloud dataโwarehouse concepts. Successful performance can lead to roles such as Senior Quality Engineer, Automation Lead or Analytics Quality Manager, with opportunities to specialize in AI testing, dataโquality governance or testโautomation architecture. Joining Deloitte offers a fastโpaced learning environment, mentorship from industry experts, access to worldโclass training resources and a clear growth trajectory within a globally recognized brand.