SENIOR SOFTWARE ENGINEER

Moody’s is a developmental culture where we value candidates who are willing to grow.
So, if you are excited about this opportunity but don’t meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.
Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.
At Moody’s, we’re taking action.
We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers.
We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level.
Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.
om/diversity   About the team.
Moody’s Analytics Commercial Real Estate provides a data driven analytics platform which supports agile investment teams, asset / portfolio managers, banks and brokers.
Our SaaS solution offers vertical business intelligence, atomised rent roll analysis, and market analytics applying state-of-the-art big data and AI technologies.
The platform makes holistic market data instantly accessible, creates transparency and thereby digitises the industry.
Be part of our journey! We are looking for a self-driven and passionate developer to join our tech team.
Responsibilities.
- Design, develop, optimize, and maintain data pipelines, ensuring adherence to ETL principles and alignment with business objectives.
- Address complex data challenges to provide insights that support business goals.
- Develop data products to enhance the productivity of analytics and data science teams.
- Foster a culture of sharing, reusability, scalability, stability, and operational efficiency in data and analytical solutions.
- Evaluate, implement, and deploy cutting-edge tools and processes in analytical data engineering to enhance team productivity.
- Code, test, and document modifications or new implementations in data systems, ensuring robustness and scalability for data analytics.
- Implement necessary security and recovery measures.
- Collaborate with the Data Science Lead and developers to ensure consistency across data solutions.
- Work closely with Business Analysts and Solutions Architects to craft technical architectures for strategic projects and initiatives.
Requirements.
- Bachelor's degree or equivalent in Computer Science, Computer Engineering, Information Technology, or a related field.
- Proven experience as a Database Engineer, specifically in designing ETL pipelines.
- Must have experience in the following areas.
- Utilizing Spark and Python for data processing.
- Writing SQL scripts for data manipulation, conversion, analysis, and patching.
- Designing and writing ETL/data migration scripts.
- Conducting requirement gathering for data pipeline projects.
- Involvement in all project lifecycle phases (requirements analysis, architecture, design, development, deployment, and testing) within a SCRUM and AGILE development practices.
Moody’s is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position.
Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.