Data Engineer

hace 3 semanas


San Francisco, Heredia, Costa Rica Moody's A tiempo completo

Moody's is a global leader in integrated risk assessment, empowering organizations to make informed decisions. We value diversity and inclusion, and we're committed to creating a workplace where every individual can thrive. Our team is seeking a strong data engineer to join us in rebuilding our data pipelines using cloud-based technologies.



The ideal candidate will have experience with data lake, data warehousing, data integration patterns, analytics, and business intelligence. They should be proficient in open-source frameworks and native cloud solutions, with a strong understanding of service-based architectures, such as microservices. Experience with API lifecycle management, integration patterns, and CI/CD pipelines is also essential.



We offer a fast-paced, hyper-growth environment where you can grow your skillset and expertise to meet emerging needs. Our team is agile and collaborative, with a focus on delivering high-quality solutions. If you're passionate about data engineering and want to make a meaningful impact, we encourage you to apply.



Key Responsibilities:


  • Contribute to the design and implementation of event-based data engineering pipelines to remediate and master data sources.
  • Operate within a lean agile team to partner with business and technology teams to design and develop scalable and highly available cloud-native solutions.
  • Develop systems to automate cloud operations and application support tasks.
  • Provide world-class support across cloud engineering, operations, and applications.


Qualifications:


  • 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, 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 API lifecycle management, integration patterns, and CI/CD pipelines.
  • Working knowledge of integration patterns and CI/CD pipelines.
  • Experience working with agile methodologies and multi-functional teams.
  • 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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