Data Services team is looking for a Technical Leader for our Cross-Functional Team of data engineers and QA experts in designing a scalable data architecture, enhancing data storage and retrieval with focus on automation, quality and innovation.
Key Responsibilities:
Lead, mentor, and develop a team of 3 engineers, fostering a culture of collaboration, innovation, and continuous learning while providing technical guidance
Conduct regular performance reviews and establish clear career development plans
Ensure smooth migration from legacy systems to newer architectures, including subsystems refactoring and optimization
Work closely with product managers, technology managers, and cross-functional teams to define technical requirements and project timelines
Define and enforce engineering best practices, including code quality standards, version control, and pipelines
Drive innovation and continuous improvement within the team, fostering a learning culture and openness to adopting new technologies
Facilitate clear communication between teams, ensuring alignment with business goals and product strategies
Assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Excellent verbal and written communication skills to collaborate with technical and non-technical stakeholders
Ability to translate business needs into technical solutions and effectively convey progress and risks to leadership
Qualifications:
2+ years experience with any programing language (Python, .NET, Java etc.)
Relevant experience with SQL query language (PostgreSQL or other SQL databases)
Working experience debugging unfamiliar code Deep understanding of software solutions performance, scalability, and maintainability
Working experience writing code per coding standards
Understanding of concepts like design patterns and threading
Working experience with GIT
Nice to have:
Experience with Python
Knowledge of basic Linux commands
Experience with Pentaho
Experience with PostgresSQL/Athena
Experience with JupyterNotebook
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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