Moody’s is Hiring for Associate Data Analyst Role. All the Candidates who completed Bachelor’s Degree are eligible. Interested Candidates can read the following Details and Apply for this role.
Job Description
- Company Name: Moody’s
- Job Role: Associate Data Analyst
- Qualification: Bachelor’s Degree
- Location: Bangalore/ Gurgaon
- Batch: 2019/ 2020/ 2021/ 2022/ 2023
- Experience: Freshers (0-1 Year)
- Salary: Up to 8 LPA (Expected)
Job Role & Responsibilities
- 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
Eligibility Criteria
- 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
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