Morningstar's mission is to create great products that help investors achieve their financial goals. For the Workplace group, that means building products and solutions that help employers maximize the value of their workplace retirement plans and put individuals on the path to better retirement outcomes. Workplace is a high-growth area for Morningstar that houses a diverse suite of technology and investment-based solutions. Our unique client base includes retirement plan providers, plan sponsors, plan consultants, and retirement plan advisors. By constantly evolving our solutions and solving our clients' problems, we are well-positioned to help individuals achieve a better retirement. The workplace technology team is critical to achieving this mission and bringing it to life.
Job Responsibilities

• Develop efficient Python-based AWS Glue jobs for transforming source data for fast analytics and reporting
• Model data at each stage to what is best suited to the end requirement
• Build reporting capabilities using AWS technologies to deliver the insights to end-users
• Design and develop for quick deployment with assistance from the Devops team
• Act as a consultant with other Database Administrators and Applications/ Business teams to support enterprise data governance

Qualifications

• Bachelor's degree in MIS, Computer Science, or a related field.
• 3+ years on a big data project
• Proficient in Python development
• Strong conceptual knowledge of database design and schema principles
• Strong SQL query writing skills
• Hands-on experience with ETL/ELT tooling

Nice to have

• Understanding of CI/CD pipelines and infrastructure as code
• Knowledge of AWS (or equivalent) serverless offerings for Big Data- Athena, Glue, Lambda
• Experience working in Scrum-based methodologies

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