Associate Data Engineer

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. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. 

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. 

Skills and Competencies

• 2+ years of experience in data engineering, with a focus on cloud-based data platforms.
• Experience in SQL, dimensional modeling, supporting data warehouse, scaling and optimizing, performance tuning and ETL/ELT pipelines.
• Experience with one or more data processing languages and platforms: Python, Spark (python), SQL server, Databricks, Microsoft Fabric.
• Experience in working with cloud technologies in AWS and/or Azure.
• Knowledge of data analytics tools (desire): Power BI, Qlik, Alteryx etc.  
• Knowledge of Others: Jira, Confluence, SharePoint, Salesforce.
• Willing to learn new technologies; capable of self-directed learning.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with both technical and non-technical stakeholders.
• Ability to handle multiple assignments concurrently and independently manage time.
• Works well in a fast-paced team environment; able to work under pressure to meet tight deadlines.
• Has super analytical skills and persistence in problem solving.
• Able to work well within the constructs of an agile development process, including SCRUM, Unit Testing, Continuous Build and Integration, etc.
• Knowledge and understanding of general auditing and compliance procedures and functions expected for data catalogs and databases.

Education

• Minimum Bachelor’s degree in Information Systems, Computer Science or related major from a top institution, Master’s degree is a plus.

Responsibilities

• Design and develop data pipelines on data heavy tech environments (data warehouse, notebooks,  ETL and BI tools).
• Design, build, and manage scalable and efficient data infrastructure on cloud.
• Prepare and manage data sets for analysis, ensuring they are accessible and usable by both internal and external data teams.
• Implement best practices for data architecture and integration.
• Ensure data accessibility and discoverability by maintaining and updating a comprehensive data catalog, enabling efficient data retrieval and usage across the organization.
• Investigate and find the root cause of data-related issues reported by stakeholders.
• Develop, update, and ensure the accuracy of technical documentation and Standard Operating Procedures (SOPs) to facilitate knowledge sharing, compliance, and efficient operations within the team.
• Collaborate with quality assurance engineers to address data-related defects.
• Provide feedback on requirements from a data perspective and provide estimates.
• Implement and test data features (schemas, SQL, Stored Procedures).
• Provide input into technical design at the task and/or module level.
• Collaborate with data governance teams to adhere to best practices and maintain data integrity.
• Work with key business stakeholders to understand their data requirements and translate those into data solutions that are aligned with their needs, sustainable, and built with analytics best practices.

About the team

Our Business Analytics team specializes in delivering strategic and operational reporting to meet the diverse data needs of our organization, join us in our mission to leverage data for better decision-making and to support the growth of our business!

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.