Cloud Data Engineer

hace 2 días


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

About Us

Moodys is a global leader in integrated risk assessment, empowering organizations to make informed decisions. Our innovative approach to data solutions drives business success.

Job Description

We are seeking a highly skilled Cloud Data Engineer to join our team. As a key contributor to our data engineering pipelines, you will design and implement event-based data solutions using the latest cloud technologies.

Main Responsibilities:

  • Contribute to the architecture of scalable and highly available cloud-native solutions
  • Partner with business and technology teams to design and develop data pipelines and stores
  • Leverage tools like JIRA and Confluence to track requirements and provide visibility into the development process
  • Design cloud-infrastructure architecture options for data pipelines and stores
  • Agressively grow your skillset and expertise to meet emerging needs

Requirements

  • BS or Higher in Computer Science or related technical field required
  • Experience with PowerShell, Python, BAT, C, C#, C++ & C# (.net)
  • Experience with SQL and AWS Cloud
  • Experience with Relational, NoSQL and Document Databases
  • Experience with service-based architectures, such as microservices
  • Experience with full API lifecycle management with tools like Apigee, AWS API Gateway, SwaggerHub
  • Good to have experience with data practices and technologies including data lake, data warehousing, data integration patterns (ETL, services, messaging), analytics and business intelligence
  • 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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