Looking for Jobs in Moody’s Corporation? If Yes, here you will get complete details about Moody’s Corporation Careers 2023 and Hiring Process
About the Company: Moody’s Investors Service, often referred to as Moody’s, is the bond credit rating business of Moody’s Corporation, representing the company’s traditional line of business and its historical name. Moody’s Investors Service provides international financial research on bonds issued by commercial and government entities.
Company Name: Moody’s Investors Service
Website: Moody’s Investors Service
Wikipedia: Moody’s Telecom Wiki
Job Profile: Associate Data Analyst
Qualification: B.E/B.Tech/MCA
Passout Batch: 2020/2021/2022
Work Location: Bangalore, Gurgaon
Package: Best In Industry
Jobs By Location And Passout Year:
| Pune | Hyderabad | Delhi |
| Mumbai | Coimbatore | Noida |
| Bangalore | Chennai | Off Campus |
| Nagpur | Gurgaon | Walk In |
| 2015 Batch | 2018 Batch | 2021 Batch |
| 2016 Batch | 2019 Batch | 2022 Batch |
| 2017 Batch | 2020 Batch | 2023 Batch |
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
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
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