Production Data Engineer - #7531668

Moody's Corporation


Fecha: hace 2 semanas
ciudad: Heredia, Heredia
Tipo de contrato: Tiempo completo
Experience Level: Experienced Hire

Categories:

  • Engineering & Technology

Location(s):

  • MIS Support Center, 4th floor, East Tower, Eurocenter Business Center, in front of Cenada, Heredia, 40104, CR

Moody’s is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don’t meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.

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

At Moody’s, we’re taking action. We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversity

About Moody's Media Solutions:

Moody's Media Solutions is at the forefront of integrating cutting-edge technology with

media analytics to provide actionable insights into news processing and media consumption

patterns. Our Enrichment Team is dedicated to enhancing data quality and streamlining

processes to support the delivery of superior media intelligence services.

Role Overview:

We are seeking a Production Data Engineer with a keen interest in news processing, data

quality, and process improvement to join our dynamic Enrichment Team. The ideal

candidate will be a problem solver at heart, exhibiting a blend of technical skills and

creativity to enhance our production systems and pipelines.

This role is pivotal in ensuring the reliability, efficiency, and quality of our media data

processing and delivery.

Key Responsibilities:

  • Develop, maintain, and optimize production pipelines for news processing and data

enrichment.

  • Implement and refine automated QA processes to ensure the highest data quality

standards.

  • Collaborate with cross-functional teams to identify and execute process improvements.
  • Contribute to the design and development of new features and tools to enhance

production efficiency and data quality.

  • Ensure robust version control and collaborative development practices using GitHub.
  • Monitor system performance, troubleshoot issues, and implement solutions to maintain

system health.

  • Participate in the creation and execution of testing protocols for system enhancements

and new releases.

Minimum Qualifications:

  • Minimum of 2 years of relevant work experience in a production engineering or similar

role.

  • Strong programming skills in Python. Knowledge of C++/C is a plus.
  • Proficiency in SQL for data manipulation and analysis.
  • Experience with GitHub for version control and collaborative development.
  • Familiarity with Continuous Integration/Continuous Deployment (CI/CD) practices and

production pipeline architectures.

Desirable Skills:

  • Experience working with news data or in a media-focused technology environment.
  • Knowledge of data visualization tools and techniques.
  • Understanding of machine learning concepts and their application in improving production

processes and data quality

Working Conditions:

  • This is fully working from home position, requiring the candidate to be available during the standard

Eastern Time business hours of 9 AM to 5 PM.

  • The role may occasionally require flexibility to meet project deadlines or address system

issues outside of standard hours

  • Solid understanding of testing protocols, including automated QA processes.
  • Excellent problem-solving skills and a natural curiosity about news processing and data

quality.

Desirable Skills:

  • Experience working with news data or in a media-focused technology environment.
  • Knowledge of data visualization tools and techniques.
  • Understanding of machine learning concepts and their application in improving production

processes and data quality.

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.

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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