Cookies & analytics consent
We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.
Read how we use data in our Privacy Policy and Terms of Service.
🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Accenture Federal Services • Mumbai City, Maharashtra, India
Role & seniority: Quality Engineer (Tester); mid-to-senior level, expected to work independently and become an SME
Stack/tools: Databricks Unified Data Analytics Platform; automated testing frameworks/tools; API testing; security testing; data integration/ETL; version control and CI/CD
Perform continuous testing (security, API, regression) across the application lifecycle
Create automation strategy, develop and maintain automated testing scripts, and support data/environment configuration
Participate in code reviews, monitor defects, and contribute to continuous improvement of end-to-end testing processes
Proficiency in Databricks Unified Data Analytics Platform
Strong data integration/ETL understanding; experience with automated testing frameworks
API testing and security testing methodologies; version control and CI practices
Nice-to-haves: NA
Location & work type: Mumbai, India; on-site, full-time role; minimum 2 years Databricks experience; 15 years of full-time education required
Project Role: Quality Engineer (Tester)
Project Role Description: Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process.
Must have skills: Databricks Unified Data Analytics Platform
Good to have skills: NA
Minimum 2 Year(s) Of Experience Is Required
Educational Qualification: 15 years full time education
Summary: As a Quality Engineer, you will enable full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Your typical day will involve performing continuous testing for security, API, and regression suites, creating automation strategies, and supporting data and environment configurations. You will also participate in code reviews, monitor, and report defects, contributing to continuous improvement activities for the end-to-end testing process, ensuring that the highest quality standards are met throughout the project lifecycle. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and maintain automated testing scripts to enhance testing efficiency. - Collaborate with cross-functional teams to ensure seamless integration of testing processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of data integration and ETL processes. - Experience with automated testing frameworks and tools. - Familiarity with API testing and security testing methodologies. - Knowledge of version control systems and continuous integration practices. Additional Information: - The candidate should have minimum 2 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Mumbai office. - A 15 years full time education is required. Show more Show less