The Group:
The EDP group is the home of data production and innovation at Morningstar. The individuals in this group transform our high-quality data, independent research, and technological expertise into well-designed data feeds and products that delight our clients. The group's product management, data development, and service teams collaborate with diverse functional groups to help provide clients with comprehensive data platforms and bundled solutions.
The Role:
In this role, you will play a vital part in the operations team for our next generation data services artifacts. Under the leadership of the Operations Manager, you will be responsible for scalability, reliability, automation to ensure timely data delivery to Morningstar products. To delivery business value in a rapid way, you will also adopt the cutting-edge concepts such as data lake, data analytics, distributed data calculation, continuous integration and continuous deployment to fuel our data development process. Moreover, you will need to leverage engineering skills and operational insights, to establish and advocate the high standards of operational excellence, collaborate with diverse teams to contribute to initiatives that brings data products and services operations to the next level.
Responsibilities
Perform operations management initiatives based on best practices such as CI/CD, monitoring everything, infrastructure automation, operations readiness review. Build work class data operations by establishing ITIL deployment, problem, incident management and continuous improvement processes. Provide technical triage and troubleshooting by understanding and analyzing financial data systems. Support data systems request fulfillment such as access management, ETL configurations. Lead miscellaneous operation projects across teams such as DR, security patching, AWS resources management. Drive automation and innovation for proactive and continuous operations improvement by new technology research and tools development. Be a focal communication contact to collaborate with our oversee offices for projects, knowledge transfer and on-call rotation. Coach and mentor juniors in team. Work assistance, review for them.
Requirements
Bachelor's degree or higher. Experience in Python or any other scripting languages. Experience with AWS: S3, SNS, SQS, DynamoDB, Glue, Spark. Knowledge of monitoring and deployment tools: Splunk, CloudWatch, New Relic, Jenkins, Cloud Formation. Knowledge of DevOps, ITIL is a plus. Experience of operating data warehouse, data lake related products is a plus. Excellent interpersonal, organizational and communication skills.
Morningstar is an equal opportunity employer
Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
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Top Skills
What We Do
At Morningstar, we believe in building great products in-house in a highly collaborative, agile environment where we focus on technical excellence, the user experience, and continuous improvement. Our technologists represent a range of skills and experience levels, but they all view their work as a craft and push technology’s boundaries.
Why Work With Us
Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!
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Morningstar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.