Senior Data Engineer

6 months ago

Manchester, United Kingdom Moody's Full time

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. 

If you are excited about this opportunity but do not meet every single requirement, please apply You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 

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 thelimits 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

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

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.

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