Moody's is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don't meet every single requirement, please apply! You may be a perfect fit for this role or other open roles. Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions. At Moody's, we're taking action. We're hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We're educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at 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 usingthe 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 Qualifications: BS or Higher in Computer Science or related technical field required. Experience of powershell, python, bat. Experience of 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 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
