Moody's is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don't meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.
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Team/Department Description :
MIS tech
Role/Responsibilities :
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:
- 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
Qualifications :
- Bachelor's degree in computer science, mathematics, MIS or other related field.
- 5-6 years of Data Engineering experience using Python or Java or PySpark or Java Spark.
- 1-2 years of cloud-based data engineering experience/databases like AWS Data Services like Glue, Lambda, Step functions, DynamoDB, RDS - Postgres, Event triggers, Lakeformation
- Ability to understand and operate on CICD Pipelines using Jenkins, CloudFormation, 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.
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.