Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.
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
you?
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
- 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
- Aggressively grow your skillset and expertise to meet emerging needs
**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 (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
