Deutsche Bank—Automation QA Engineer -AS

Job description

Description: Job Description: Job Title- Automation QA Engineer Corporate Title - Associate Location- Bangalore, India Role Description: DWS’s data infrastructure team provides the secure, scalable and trustworthy foundation for storing, processing and distributing critical enterprise data. This role is responsible for driving the automation and execution of testing plans and deliverables to ensure quality and efficiency. What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll enjoy - Best in class leave policy - Gender neutral parental leaves - 100% reimbursement under childcare assistance benefit (gender neutral) - Sponsorship for Industry relevant certifications and education - Employee Assistance Program for you and your family members - Comprehensive Hospitalization Insurance for you and your dependents - Accident and Term life Insurance - Complementary Health screening for 35 yrs. and above Your key responsibilities - Design, develop automated test scripts and frameworks using Python & SQL. - Integrate automated tests with CI/CD pipelines (e.g., Github workflows, Jenkins) to ensure continuous testing and deployment. - Collaborate with development and QA teams to understand application features and create robust, comprehensive automation suite. - Analyze test results, provide detailed reports, and work to improve test coverage, traceability, and efficiency. - Ability to understand the existing test framework written in Spark, BDD and contribute to any on-going application enhancements. - Participate in code reviews and provide feedback to ensure test code quality and best practices. - Some understanding of cloud-based data platforms such as GCP BigQuery, Snowflake or Databricks and DBT (Open source) is a plus. - Nice to have – Banking & Finance Domain Knowledge. Your skills and experience Bachelor’s degree in Computer Science, Engineering, or a related field. - 3-6 years of experience in test automation. - Strong proficiency in Python (like pyTest, great_expectation ,pandas etc ). - SQL - Ability to write complex database queries - Hands-on experience with version control systems (e.g., Git), CI/CD tools (e.g. Github workflow, Jenkins). - Knowledge of BDD/TDD methodologies. - Experience working in Agile/Scrum environments. - Excellent analytical, problem-solving, and communication skills. - Ability to work effectively in a fast-paced, team-oriented environment. Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs. How we’ll support you - Training and development to help you excel in your career - Coaching and support from experts in your team - A culture of continuous learning to aid progression - A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.