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Moody’s is a global integrated risk assessment firm that empowers organizations to make better decisions

Sr. Data Engineer

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.
Moody’s Investors Service is among the world’s most respected and widely utilized sources for credit ratings and research. Our opinions and analysis on a broad range of credit obligors and obligations are valued around the world for their insight and rigor. At MIS, our workplace culture supports our mission to be the Agency of Choice for our customers, employees and future employees. Our Culture focuses on Excellence and embodies behavioral qualities such as Integrity, Responsiveness, Collaboration, Respect and Passion. Our people are our core asset and we look beyond outcomes to ensure that behaviors and interactions matter.

Department

MIS TECH

Job Description

Data Engineer will help with the modernization and transformation of the data ecosystem within Moody’s Investor Services (MIS). This person will build and maintain data pipelines across multiple initiatives across various business areas and drive the build out modern cloud-based data engineering practices.

Key responsibilities for this role include the following:

  • Develop, build data engineering pipelines using Scala/PySpark in AWS using services like EKS, Lambda, S3, Glue, Step Functions

  • Build ingestion as a service using the AWS Native and PySpark to facilitate the data gravity shift from on-premises to the cloud through migration of data assets and workloads to the cloud

  • Build components in the data engineering following Test Data Driven development practices

  • Setup CICD for all data engineering workload using AWS CodePipeline.

  • Work closely with business and technology colleagues to create platforms built using modern, consumer focused technologies

  • SQL skills for data profiling and analysis, and ability to reverse engineer existing databases with minimal assistance

  • Support data requests/projects and helps to interpret data sets

  • Perform ad-hoc data/process analysis as needed

  • Participate in Agile scrum teams and contribute to project planning and work prioritization

Qualifications

  • Bachelor’s degree in computer science, mathematics, MIS or other related field.
  • 3+ years of Data Engineering experience
  • 3+ years of Programming experience in Python or PySpark or Scala
  • AWS Cloud based data engineering experience including RDS PostGres, Snowflake is a plus
  • RestAPI based development experience is a plus
  • Experience with SQL a must (any Database)
  • Strong experience working in Agile environments
  • Ability to coordinate and assist teams to resolve complex analytical and technical issues
  • Excellent communication skills, the ability to translate technical concepts to business concepts and vice versa
  • Client focused, proactive, and results oriented
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. For New York City positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the New York City Fair Chance Act. For all other applicants, qualified applicants with criminal histories will be considered for employment consistent with the requirements of applicable law.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.

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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