Let's begin! Senior Data Engineer
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Job Summary
At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment were advancing AI to move from insight to actionenabling 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
- 69 years of experience in data engineering with a strong focus on scalable data platforms
- Strong proficiency in Python including pandas SQLAlchemy and PySpark
- Hands-on experience with AWS Glue including ETL development crawlers and schema management
- Experience working with AWS Batch and Step Functions for workflow orchestration
- Expertise in Docker for containerized workloads
- Strong SQL skills and experience with relational databases such as PostgreSQL and SQL Server
- Experience designing and managing S3-based data lakes including formats such as Parquet and JSON and partitioning strategies
- Ability to define engineering patterns create documentation and mentor team members
- Exposure to SageMaker data quality tools or Infrastructure as Code (CDK/Terraform) is a plus
- Interest in applying AI/LLMs within data workflows
Education
- Bachelors degree in Computer Science Engineering or a related field or equivalent practical experience
Responsibilities
- Own end-to-end data pipeline architecture including ingestion transformation and productionisation
- Build maintain and optimize AWS Glue ETL jobs and manage schema evolution
- Orchestrate data workflows using AWS Batch and Step Functions
- Develop reusable pipeline patterns frameworks and templates to improve scalability and efficiency
- Partner with data science teams to support model deployment and operationalization
- Containerize data workloads using Docker for consistency and portability
- Establish data quality validation and monitoring practices across pipelines
- Mentor engineers and promote best practices in data engineering and platform design
About the Team
Moodys 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 Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys 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.
Required Experience:
Senior IC
About Company
Moody's CreditView is our flagship solution for global capital markets that incorporates credit ratings, research and data from Moody's Investors Service plus research, data and content from Moody's Analytics.
