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. 

Job Description

The Senior Software Engineer - Data Engineering will help with the modernization and transformation of the data ecosystem within Moody’s Investor Services (MIS).This person will build, maintain a range of data initiatives across various business areas and drive the build out modern cloud-based data engineering practices.

Key responsibilities for this role include the following

Responsibility

• Implement the target state architecture and move data gravity from on-premises to the cloud through migration of data assets and workloads to the cloud
• Create AWS Cloud Native components-based solutions for Data Mesh Implementation - Ingestion as a Service module
• Build and enhance the Spark Based Framework for ingestion needs
• Leverage Functional Programming approach to all the modules and Build a platform enabled with different microservices that will be cater to data mesh domain needs
• Help develop baseline technology standards, tools platforms and processes in support of the overall data strategy.
• Work closely with business and technology colleagues to create platforms built using modern, consumer focused technologies
• Develop, build and test data engineering pipelines.

• Contributes to data and IT projects as a business-minded analyst, performing full lifecycle analysis including data profiling, requirements gathering and documenting, data mappings, process and data design flows, data quality controls input, and testing assistance.

• Assist with conceptual data modeling concepts to align to data domains

  * Understands and can communicate data management principles such as Master Data Management, Critical Data Elements, Granularity, Normalization, etc

Qualifications :

• Bachelor's degree in computer science, mathematics, MIS or other related field.
• 7-10 years of Data Architect experience using Python or Java or Pyspark or Java Spark.
• 5-6 years of cloud-based data engineering experience/databases like AWS Data Services like Glue, Lambda, Step functions, DynamoDB, RDS - Postgres, Event triggers, Lake formation
• Ability to understand and operate on CICD Pipelines using Jenkins, Cloud Formation, Terraform etc.
• Ability to build and motivate teams through times of change.
• Excellent communication skills with respect to both technical and non-technical audiences at various levels of the organization
• Demonstrates high EQ and self-awareness. Inspires teams to engage, innovate and deliver.
• Passion for end-to-end solutions and delighting the end user through effective listening and expectation management

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.