Morningstar, a global leader in investment research and financial services, is looking for a talented Senior Data Quality Assurance Engineer to join their team in Navi Mumbai, Maharashtra, India. If you have over 3 years of experience in data quality assurance, this role offers an exciting opportunity to work with a company that values innovation, integrity, and excellence.
Why Work at Morningstar?
Morningstar is a company that believes in empowering investors with the tools and information they need to make informed decisions. As part of the Morningstar team, you will be contributing to products and services that impact millions of users worldwide.
- Innovative Environment: Be part of a team that is constantly pushing the boundaries of financial technology.
- Global Reach: Work for a company with a presence in over 27 countries, serving a diverse client base.
- Career Growth: Benefit from continuous learning opportunities and career development programs.
- Inclusive Culture: Join a company that values diversity, equity, and inclusion in the workplace.
Role Overview: Senior Data Quality Assurance Engineer
As a Senior Data Quality Assurance Engineer, you will play a pivotal role in ensuring the integrity and accuracy of Morningstar’s data products. Your work will be essential in maintaining the high standards that Morningstar is known for in the financial industry.
Key Responsibilities
- Data Quality Assurance: Develop and implement comprehensive data quality checks to ensure data accuracy and consistency.
- Automation: Design and deploy automated testing frameworks to streamline data validation processes.
- Collaboration: Work closely with data engineers, product managers, and other stakeholders to understand data requirements and deliver quality solutions.
- Reporting and Documentation: Create detailed reports and documentation outlining data quality issues, resolutions, and process improvements.
Required Skills and Experience
To be successful in this role, you should have:
- Experience: At least 3 years of experience in data quality assurance, with a strong understanding of data management principles.
- Technical Proficiency: Expertise in SQL, data validation tools, and automated testing frameworks.
- Analytical Skills: Strong analytical and problem-solving skills to identify and address data quality issues.
- Communication: Excellent communication skills to collaborate effectively with cross-functional teams.
How to Apply
Ready to take your career to the next level with Morningstar? Apply for the Senior Data Quality Assurance Engineer position here:
