Senior Data Engineer - #7528261

Moody's Corporation

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


  • Engineering & Technology


  • 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

Ever wanted to turn a gas powered lawn mower into a space vehicle capable of reaching Mars? Do the

concepts event-based, serverless, cloud-native and data lake(purified) set off any bells and whistles for


We are looking for a strong innovative data enrichment services cloud engineer who is looking to push the

limits and be an integral part of rebuilding our data pipelines from data remediation to data mastering using

the latest cloud-based technologies. This role will be a key contributor to the design and implementation of

event based data engineering pipelines to remediate and master the data sources. Ensure overall

execution of enterprise grade operational serverless technology stack. Gain valuable 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:

  • Be a key contributor in the overall architecture of the solution to insure its interoperability within Data Solutions platforms and other MA platforms
  • Able to operate within a lean agile team of cloud software engineers to partner with Business and technology teams to design and develop scalable and highly available cloud-native solution
  • Contribute to the development of cutting-edge enterprise data solutions in a fast-paced environment using modern solutions to solve complex data challenges leveraging the cloud
  • Develop systems to automate cloud operations and application support tasks
  • Provide world-class support across cloud engineering, operations and applications
  • Leverage tools such as JIRA and Confluence to track requirements and provide
  • visibility into the development process Designing cloud-infrastructure architecture options for our data pipelines and stores
  • Learning, understanding, and assisting with the operational management of the
  • existing on-premises data applications and infrastructure and migrate to serverless cloud architecture
  • Aggressively grow your skillset and expertise to meet emerging needs


  • BS or Higher in Computer Science or related technical field required.
  • Experience with Data practices and technologies including data lake, data warehousing, data integration patterns (ETL, services, messaging), analytics and business intelligence.
  • Open source frameworks and developing native Cloud solutions.
  • Experience of SQL, Python and/or Java for serverless architecture in AWS
  • Experience with GraphDB, NoSQL and Document Databases.
  • Experience with service-based architectures, such as microservices.
  • Experience with full api lifecycle management with tools like Apigee, Kong, AWS API, Gateway, SwaggerHub
  • Working knowledge of integration patterns and CI/CD pipelines.
  • Experience working with Agile methodologies (Scrum, Lean Startup, XP) and multi-functional teams (Product Owners, Scrum Masters, Developers, Designers, Data Analysts)
  • Innovative approach to solving complex issues and problems.
  • 3+ years of core experience in enterprise grade big data cloud programs
  • Industry Certification in AWS is a plus.
  • Excellent communication skills, the ability to translate technical concepts to business
  • concepts and vice versa
  • Client focused, proactive, and results oriented
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