Cloud Data Engineer

3 weeks ago

Manchester, United Kingdom Moody's Investors Service Full time
Cloud Data Engineer

We are seeking a highly skilled Cloud Data Engineer to join our team at Moody's Investors Service. As a key contributor to our data engineering team, you will be responsible for designing and implementing event-based data engineering pipelines to remediate and master our data sources.

Key Responsibilities:

  • Design and implement scalable and highly available cloud-native solutions using modern technologies.
  • Contribute to the development of cutting-edge enterprise data solutions in a fast-paced environment.
  • Develop systems to automate cloud operations and application support tasks.
  • Learn, understand, and assist with the operational management of our existing on-premises data applications and infrastructure.

Requirements:

  • BS or Higher in Computer Science or related technical field.
  • Experience with PowerShell, Python, and batch scripting.
  • Experience with C, C#, C++ & C# (.NET).
  • Experience with SQL and AWS Cloud.
  • Experience with Relational, NoSQL and Document Databases.
  • Experience with full API lifecycle management with tools like Apigee, AWS API Gateway, SwaggerHub.
  • Good to have data practices and technologies including data lake, data warehousing, data integration patterns (ETL, services, messaging), analytics and business intelligence.
  • Experience working with Agile methodologies (Scrum, Lean Startup, XP) and multi-functional teams (Product Owners, Scrum Masters, Developers, Designers, Data Analysts).
  • 3+ years of core experience in enterprise grade big data cloud programs.
  • Industry Certification in AWS is a plus.

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