Sr. Cloud Data Engineer

Company:
Location: Gurgaon, Haryana

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Role/Responsibilities

This role will be a key contributor to the design and implementation of data engineering pipelines to ingest big data (internal and external) data sources. She/he will ensure overall execution of enterprise grade operational data lake leveraging serverless technology stack. Will lead by the experience in development and product releases in a fast -paced, hyper growth environment. Should be hands-on and eager to make an immediate impact upon joining the team.

The Role / Responsibilities:

  • Hands-on experience developing systems that leverage multiple AWS services including CloudFormation, Lambda, Python, API Gateway, S3, DynamoDB/ any NoSQL, Relational Database Service (RDS), Glue Catalog & ETLs, Athena and QuickSight for data management and analysis.
  • Experience working in product delivery teams. (SaaS, Hi-Tech)
  • Working knowledge of integration patterns and CI/CD pipelines.
  • Demonstrate robust debugging skills, and enforcing strict standards for code quality on python (or similar) libraries.
  • Ability to work in agile environments with a global setting.
  • Proficiency in python and java for serverless architecture in AWS (Lambda).
  • Proficiency in spark and AWS Glue for big data processing.
  • Expert-level knowledge of SQL, Python, R, or similar language used for data engineering.
  • Experience with automation and event driven implementations.

Qualifications

  • Candidates are expected to demonstrate experience in each of the above responsibilities and focus areas, with the following specific qualifications:

Required:

  • BS or Higher in Computer Science or related technical field required.

  • 5+ years of core experience in enterprise grade big data cloud programs delivering as an invidual contributor.

  • Clear articulation and precise communication to leadership and stakeholders.

  • Organized, detail-oriented, QA-focused.

Preferred:

  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets in financial services industry.

  • Industry Certification in AWS is a plus.

LOB/Department

Moody's Information Technology / EBS Operations

Job Req ID

19917BR

Entity

Moody's Shared Services (MSS)

Line of Business

Moody's Information Technology (MIT)

Regular/Temporary

Regular

City

Gurgaon

Job Category

Engineering & Technology

Job Sub Category

Database Engineering

Experience Level

Experienced Hire

Working at Moody's

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.

Entity

Moody’s Shared Services are the front line professionals including Finance, Technology, Legal, Compliance and Human Resources, that operationally support our business units. Exceptional Shared Services teams are vital to the international success of our business.

EEO Policy

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.

Securities Trading Policy (STP)

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.

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