Software Engineer - Data Management

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. 

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 

Position overview:

The Software Engineer is a key contributor to the Data Engineering and Configuration team and is responsible for design, implementation, and configuration of Enterprise Data Management tools (Data Governance and Data Management etc.). The ideal candidate will lead by experience in development and product releases in a fast -paced environment.

Responsibilities:

· Expert-level knowledge of SQL, Python, R, or similar languages used for data engineering.

· Hands-on experience developing Data Integration solutions in the Cloud (AWS / Azure)

· Hands-on Experience in UI Development with React/Node.js

· Experience with the Cloud Architecture in AWS / Azure - knowledge of multiple components in the cloud and how all the services interact

· Experience working with Power BI /Tableau for Data Visualization

· Spring Boot experience is a plus

· Interface with Engineers, Product Managers, and Product Analysts to gather requirements and provide support.

· Demonstrate robust debugging skills and enforcing strict standards for code quality on python (or similar) libraries.

· Ability to work in agile environments with a global setting.

· Proficiency in spark and AWS Glue for big data processing

· Experience with automation and event driven implementations.

· Experience with MDM (Master Data Management) technologies and concepts - Semarchy/Informatica etc.

· Experience with Data Governance tools and framework - Collibra/Purview etc.

· Working knowledge of integration patterns and CI/CD pipelines.

Qualifications:

· 6-10 years' experience in Data Engineering with hands on experience implementing

· Data Integration on the Cloud

· Expert-level knowledge of SQL, Python

· Knowledge of React/Node.js

· AWS or Azure Certification is a plus

· Experience with MDM tools like Informatica/Semarchy a big plus

· Experience with Data Governance tools like Collibra/Purview a plus

· Bachelor's or master's degree in related field.

Professional Skills

· Being a great team player - working with all the different teams and being an integral part of Data Governance team

· Being curious and adopt to changing needs of the business by learning new tools and technologies

· Experience working in Agile/Scrum/Kanban teams

· Effective communication and problem-solving skills

· Experience driving technical ideas and communicating clearly to both technical and non-technical audiences at all levels of the organization

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.