AWS Senior Data Engineer
4 weeks ago
We are seeking a highly skilled and innovative Cloud Data Enrichment Services Engineer to join our team at Moody's. As a key contributor to our data engineering team, you will play a crucial role in designing and implementing event-based data engineering pipelines to remediate and master our data sources.
Key Responsibilities:- Design and implement cloud-based data engineering pipelines to remediate and master data sources
- Contribute to the overall architecture of the solution to ensure interoperability within Data Solutions platforms and other MA platforms
- 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
- Design cloud-infrastructure architecture options for our data pipelines and stores
- Learn, understand, and assist with the operational management of the existing on-premises data applications and infrastructure and migrate to serverless cloud architecture
- BS or Higher in Computer Science or related technical field
- Experience with PowerShell, Python, and batch scripting
- Experience with C, C#, C++, and.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, and 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
We are an equal opportunity employer and welcome applications from diverse candidates. 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.
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