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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related field
- 3-6 years of experience in test automation
- Strong proficiency in Python, including pytest, Great Expectations, and pandas
- Ability to write complex SQL database queries
- Hands-on experience with Git or other version control systems
- Experience with CI/CD tools such as GitHub Workflows or Jenkins
- Knowledge of BDD and 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
- Understanding of cloud-based data platforms such as GCP BigQuery, Snowflake, or Databricks, and dbt
- Banking and finance domain knowledge
- Ability to use AI tools responsibly to improve productivity and solve business problems
What We Do
DWS Group (DWS) with EUR 933bn of assets under management (as of 30 June 2024) aspires to be one of the world's leading asset managers. Building on more than 60 years of experience, it has a reputation for excellence in Germany, Europe, the Americas and Asia. DWS is recognized by clients globally as a trusted source for integrated investment solutions, stability and innovation across a full spectrum of investment disciplines. We offer individuals and institutions access to our strong investment capabilities across all major liquid and illiquid asset classes as well as solutions aligned to growth trends. Our diverse expertise in Active, Passive and Alternatives asset management – as well as our deep environmental, social and governance focus – complement each other when creating targeted solutions for our clients. Our expertise and on-the-ground knowledge of our economists, research analysts and investment professionals are brought together in one consistent global CIO View, giving strategic guidance to our investment approach. DWS wants to innovate and shape the future of investing. We understand that, both as a corporate as well as a trusted advisor to our clients, we have a crucial role in helping to navigate the transition to a more sustainable future. With approximately 4,500 employees in offices all over the world, we are local while being one global team. We are committed to acting on behalf of our clients and investing with their best interests at heart so that they can reach their financial goals, no matter what the future holds. With our entrepreneurial, collaborative spirit, we work every day to deliver outstanding investment results, in both good and challenging times to build the best foundation for our clients’ financial future.
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