BTA - Quality Engineer - Hyderabad

Deloitte’s interview process typically starts with an online aptitude test covering quantitative, logical and verbal reasoning. Shortlisted candidates face a technical interview focused on testing fundamentals, SQL queries, data‑validation scenarios and basic programming. The final HR round assesses cultural fit, communication skills and career goals. The overall difficulty is moderate, and thorough preparation of core concepts and mock tests greatly improves success chances.

Round 1: Online aptitude & logical reasoning test → Round 2: Technical interview (testing concepts, SQL, scenario‑based questions) → Round 3: HR interview (fitment, communication, career aspirations)

Deloitte promotes an inclusive, collaborative environment where learning and mentorship are integral to daily work. Employees benefit from structured career paths, global exposure and a balance between challenging projects and personal well‑being, supported by flexible work arrangements and robust wellness programs.

Bachelor’s degree in Computer Science, Information Technology, Electronics, or any related engineering discipline; minimum 60% aggregate (or CGPA 6.5/10); graduating batch 2024‑2025; no active backlogs at the time of joining; strong academic record in programming, databases or data‑analytics subjects.

Deloitte is one of the world’s 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 purpose‑driven work, inclusive culture and continuous learning, making it a preferred destination for fresh talent looking to build a long‑term career in analytics and technology. The role of a BTA Quality Engineer in the Analytics Horizontal team is an entry‑level position designed to groom fresh graduates into competent quality professionals. As a Quality Engineer, you will be responsible for ensuring that analytics deliverables – ranging from reports and dashboards to data pipelines, APIs and AI‑enabled applications – 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 end‑to‑end testing for reports, dashboards, data pipelines and AI applications. 4. Perform SQL‑based data validation, source‑to‑target comparisons and reconciliation across databases and analytics platforms. 5. Test ETL/ELT workflows, file and API integrations, scheduled jobs and cloud‑based data processes. 6. Validate AI‑enabled 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 data‑validation testing under guidance. 9. Participate in Agile ceremonies, defect triage, test‑status reporting and release‑readiness 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 data‑warehouse 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, data‑quality governance or test‑automation architecture. Joining Deloitte offers a fast‑paced learning environment, mentorship from industry experts, access to world‑class training resources and a clear growth trajectory within a globally recognized brand.