Posted on: 19/09/2026
About the Role :
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. 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 :
- 5 - 8 years of experience designing, building, and optimizing scalable data engineering solutions using Databricks, AWS Glue, and Unity Catalog
- Proven expertise in developing and maintaining batch and streaming ETL/ELT pipelines, including workflow orchestration with Apache Airflow
- Strong understanding of Data Lake and Medallion Architectures, distributed processing frameworks such as Apache Spark, and cloud-native data platforms
- Experience with SQL and NoSQL databases, data warehousing, data governance, metadata management, lineage tracking, and security controls
- Hands-on experience with AWS/Azure services, Git-based version control, Terraform, and CI/CD pipelines
- Demonstrated proficiency in AI-enabled productivity tools and emerging technologies that improve engineering efficiency and delivery outcomes.
Responsibilities :
- Design, build, and maintain scalable data pipelines that process structured and unstructured data from multiple sources
- Implement high-performance data solutions using Databricks, Spark, AWS Glue, and other cloud-native services
- Manage and optimize ETL workflows, ensuring reliability, scalability, and operational efficiency
- Develop and maintain secure Data Lake and Data Warehouse environments that support analytics and reporting needs
- Establish data governance, lineage, quality monitoring, and access-control frameworks
- Collaborate with business stakeholders, analysts, and data scientists to deliver data solutions aligned with business objectives.
Education :
- Bachelor's, Master's, or PhD degree in Computer Science, Information Technology, or a related discipline
About the Team :
The Asset Management Technology team delivers innovative data, analytics, and AI capabilities supporting Structured Finance solutions. The team collaborates globally to build scalable platforms and high-quality data products that enable informed investment decisions across financial markets.
Moody's is an equal opportunity employer.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1672888