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48 Moody's Analytics Jobs

Senior Data Engineer

5-10 years

Bangalore / Bengaluru

1 vacancy

Senior Data Engineer

Moody's Analytics

posted 1mon ago

Job Description

Location(s):
  • Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN
Line Of Business: MIS Technology(MIS TECH)
Job Category:
  • Engineering & Technology
Experience Level: Experienced Hire
Job Description
The Senior Software Engineer - Data Engineering will help with the modernization and transformation of the data ecosystem within Moody s Ratings .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 :
Bachelors 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

Employment Type: Full Time, Permanent

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Prepare for Senior Data Engineer roles with real interview advice

Top Moody's Analytics Senior Data Engineer Interview Questions

Q1. Earning before interest tax depreciation and amortization
Q2. Dual effect of transactions
Q3. What do you understand by abstraction, polymerization etc.....
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What people at Moody's Analytics are saying

What Moody's Analytics employees are saying about work life

based on 264 employees
58%
91%
83%
93%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Moody's Analytics Benefits

Health Insurance
Cafeteria
Team Outings
Work From Home
Soft Skill Training
Job Training +6 more
View more benefits

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