Company Overview :
Moody’s (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. With over 11,000 employees in more than 40 countries, Moody’s combines international presence with local expertise and over a century of experience in financial markets. Learn more at moodys.com.
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.
- 0-1 years of Data Engineering experience using Python or Java or PySpark or Java Spark.
- upto an 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