Morningstars Data Catalyst provides Big Data analysis of client financial portfolios that allows home office compliance and risk management departments to identify areas of potential corporate risk due to portfolio mismanagement. This analysis looks across entire enterprises, spanning hundreds of offices, thousands of advisors, and millions of accounts.
Data Catalyst combines state-of-the-art, cloud-based technologies with market-leading analytic methodologies to provide clear and detailed insights on a large scale.
We are seeking an enthusiastic Software Engineer familiar with manipulating data in a Spark environment to join our team and help us deliver this exciting capability to some of Morningstars most important customers and to eager new prospects.
This position is appropriate for someone with 1-3 years post-college work experience.
Candidates will be involved with all aspects of Data Catalyst development, from customer input to product and capability definition to development and testing. Specific responsibilities include:
Owning key components in the Data Catalyst system, handling design, implementation, integration, and testing.
Working with other team members to deliver high-quality functionality on time.
Following software development best practices such as test-driven development, continuous integration, and Agile rapid iteration.
Take ownership of the success of the team with a "gets things done" attitude; the ability to understand and leverage new technologies, potentially wearing many hats including business analyst, DBA, QA and project manager.
Be passionate about quality, process, programming, and investing in general, seeing opportunities for improvement, seizing them, and then sharing your findings with others.
Familiarity or desire to become an AWS certified developer.
The ideal candidate will have the following qualifications:
A degree in Computer Science, Software Engineering, or an equivalent discipline
1-3 years work experience using Python or Java
Experience with data manipulation in Spark (data frames) and writing SQL queries
Experience developing unit and regression tests
Experience with Agile methodology
Familiarity with AWS stack (EMR, Lambda, S3, Athena, etc.) is preferred
Experience using REST APIs is a plus
Experience with Tableau is a plus
Familiarity with financial concepts is a plus
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