The role involves developing data quality solutions, building applications for data analytics, and implementing technical strategies for data quality control and benchmarking activities in a collaborative environment.
Role: Software Engineer, Direct Platform Quality, EDP
The Group: Morningstar's The Enterprise Data Platform (EDP) is the central nervous system of consolidating, normalizing, calculating, and distributing Morningstar's high-quality data and capabilities around that data for internal and external consumers. EDP is the data provider as well as business enabler. The individuals in this group thrive to enable faster business growth, better scale and improve customer experience by maximizing full commercial and brand value of data sets in their entirety.
The Role: You will be accountable for working with a quality engineering team dedicated to implementing and maintaining data quality solutions that focuses on Morningstar's client experience. You will take ownership of developing technical solutions to automate the creation of specific and targeted client scorecard and data-specific audit and benchmarking activities. Partnering with key stakeholders like Product Manager, Team Lead, and Senior Engineers withing the team, you will also develop and execute data quality control suites to catch potential data errors.
We believe in the philosophy of learning every day is the key to success so you will be expected to keep pace with software engineering, computer science, cloud and data science, and financial research trends. You will be expected to autonomously contribute to a comprehensive technology strategy that results in greater products, more robust processes, better communication, and faster delivery times. Our products are global, so you need to think globally.
Responsibilities:
Requirements:
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.
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity
The Group: Morningstar's The Enterprise Data Platform (EDP) is the central nervous system of consolidating, normalizing, calculating, and distributing Morningstar's high-quality data and capabilities around that data for internal and external consumers. EDP is the data provider as well as business enabler. The individuals in this group thrive to enable faster business growth, better scale and improve customer experience by maximizing full commercial and brand value of data sets in their entirety.
The Role: You will be accountable for working with a quality engineering team dedicated to implementing and maintaining data quality solutions that focuses on Morningstar's client experience. You will take ownership of developing technical solutions to automate the creation of specific and targeted client scorecard and data-specific audit and benchmarking activities. Partnering with key stakeholders like Product Manager, Team Lead, and Senior Engineers withing the team, you will also develop and execute data quality control suites to catch potential data errors.
We believe in the philosophy of learning every day is the key to success so you will be expected to keep pace with software engineering, computer science, cloud and data science, and financial research trends. You will be expected to autonomously contribute to a comprehensive technology strategy that results in greater products, more robust processes, better communication, and faster delivery times. Our products are global, so you need to think globally.
Responsibilities:
- Developing and deploying quality solutions leveraging best practices of Software Engineering.
- Build Applications and Services - Deployment/implementation and maintenance of solutions for Data Quality Benchmarking, Data Consistency Solutions. Add new features and solutions per the Direct Platform Quality initiatives' product roadmap.
- to participate in periodic calls during US or European hours is a necessity.
- Following standards and guidelines of coding is a must.
Requirements:
- Minimum of 3 years of hands-on experience in software engineering specifically building and deploying applications for data analytics and data manipulation.
- Good knowledge of Python, Object Oriented Programming, SQL & AWS Cloud (AWS certification preferred).
- Expertise in big data open-source technologies, Analytics & ML/AI, public cloud services and cloud-native architectures
- Breadth in both established and emerging technologies like Big Data, NoSQL, Hadoop, Data Warehousing, Data Lakes, Data Visualization, data sciences and predictive analytics is preferred
- Experience working on Data Analytics and Data Quality projects for AMCs, Banks, Hedge Funds etc.
- Experience designing and deploying complex data pipelines in Cloud Environment
- An advanced degree in engineering, computer science, or a related field.
- Preferably having experience in Financial Domain managing both projects and operations.
- Experience with Agile software engineering practices.
- Familiarity with the mutual fund, fixed income, and equity data is a plus.
- Intellectual curiosity for the world of Finance & mutual funds research.
- Fluent in both oral and written English.
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.
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity
Top Skills
Aws Cloud
Big Data
Data Lakes
Data Visualization
Data Warehousing
Hadoop
Ml/Ai
NoSQL
Python
SQL
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