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The Principal Software Engineer will design and develop web and enterprise solutions, improve data structures, enforce agile practices, and take part in high-quality deliverable production. Responsibilities include mentoring team members and participating actively in design and architecture phases, while also ensuring adherence to best software development practices.
The Data Quality Assurance Analyst is responsible for conducting data quality checks, performing audits, and ensuring compliance in production processes. This role includes developing action plans for data reliability, analyzing issues, and collaborating with operations teams to improve quality assurance standards. Additionally, the analyst will manage audit sprints and communicate findings with stakeholders.
The Senior Infrastructure Engineer will provide support for LAN, WAN, and Datacenter Networks. Responsibilities include monitoring and administrating global networks, implementing Firewall changes, managing cloud networking tasks in AWS and Azure, troubleshooting issues, documenting procedures, and coordinating with teams for incident resolution.
The Enterprise Quality Analyst role focuses on developing and implementing data quality projects, performing audits, analyzing data quality issues, and supporting quality improvement processes. The position requires collaboration with global data experts to ensure high-quality databases while maintaining effective communication and managing project timelines.
As a Structured Finance Research Analyst, you will perform quantitative and qualitative research on asset or mortgage-backed securities, contribute to industry publications and reports, analyze sector data, identify trends, and assist with special projects. The position requires strong analytical skills and attention to detail.
The Team Leader will oversee a team of equity data quality analysts, ensuring the quality and accuracy of Morningstar's equity databases. Responsibilities include guiding team objectives, managing project schedules, improving operational performance through Lean practices, and maintaining communication with global teams.
The Business Intelligence Data Engineer will build and maintain data technology to support advanced analytics, develop ETL processes, and enhance data modeling solutions to deliver insights for various business stakeholders. They will also work to improve quality assurance standards and communicate complex data issues effectively.
The Sr. QA Automation Engineer will define automation strategy, develop automation testing frameworks, and lead QA efforts for web applications. Responsibilities include writing automated test cases, conducting API testing, integrating automated tests into CI/CD processes, and collaborating with the technology team to manage project status updates and quality assurance standards.
As an RPA Developer, you will collaborate with global teams to identify automation opportunities, lead RPA solution design, manage project tasks, mentor the team, and stay up-to-date with emerging RPA technologies while ensuring compliance with IT security policies.
The Program Manager will lead a team of project specialists, manage strategic programs, foster team development, and promote project management best practices. Responsibilities include aligning programs with organizational goals, partnering with leaders for business results, and advocating for continuous improvement in project management methodologies.
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