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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
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
Develop systems to automate cloud operations and application support tasks
Provide world-class support across cloud engineering, operations and applications
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
existing on-premises data applications and infrastructure and migrate to serverless cloud architecture
Aggressively grow your skillset and expertise to meet emerging needs
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.
Knowledge of SQL, Python and/or Java for serverless architecture in AWS
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
Moody's is an equal opportunity employer. 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.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee's tenure with Moody's.