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.

Moody’s Ratings’ AI Analytics group develops advanced machine learning solutions for high-profile data science initiatives. To strengthen our team, we seek an experienced Data Engineer to design, build, and maintain our cloud-based data infrastructure. The successful candidate will work closely with data scientists, software engineers, and other data engineers to develop scalable and efficient data pipelines, enabling seamless data ingestion, transformation, and processing.

The successful candidate will strive to meet Moody’s values: openness, diversity, inclusivity, respect, and a willingness to learn.
Responsibilities
* Design and implement scalable, fault-tolerant data pipelines on AWS using services like AWS Redshift, RDS, Glue, and EMR.
* Develop and optimize efficient data processing workflows using Python, PySpark and SQL.
* Build and maintain ETL/ELT processes for structured and unstructured data sources.
* Collaborate with data scientists and analysts to understand data requirements and provide optimized solutions.
* Ensure data quality, integrity, and security across various stages of the data pipeline.
* Implement best practices for data governance, monitoring, and automation.
* Troubleshoot and resolve data pipeline issues, optimizing performance and reliability.
* Manage and maintain database schemas and structure.

Mandatory Qualifications
* Bachelor’s degree in computer science, engineering, or a related field.
* Experience in data engineering roles.
* Understanding of machine learning and AI concepts.
* Proficient in Python, Pyspark and SQL for data manipulation and processing.
* Good understanding of AWS data services.
* Experience in data modeling and database design (e.g. SQL, NoSQL).
* Strong problem-solving and analytical skills.
* Familiarity with data governance and data quality practices.
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Preferred Qualifications
* AWS certifications (e.g., AWS Certified Data Analytics).
* Experience with big data technologies (e.g., Apache Spark, Hadoop).
* Familiarity with CI/CD practices and DevOps tools (e.g., Git, Jenkins).
* Knowledge of data streaming and real-time data processing.

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.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.