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    Software Engineer in DevOps - Salford, Greater Manchester, United Kingdom - Moody's Investors Service

    Moody's Investors Service
    Moody's Investors Service Salford, Greater Manchester, United Kingdom

    3 days ago

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    Description
    Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.
    We're hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at
    Department Overview - Data Solutions

    The Data Solutions division is the commercial data business of Moody's Analytics, bringing together a vast catalogue of data to help business decision-makers assess risks and opportunities.

    We are best known for Orbis, the world's most comprehensive database of public and private companies.

    We are also the definitive source of ratings-related data for companies and securities that have been rated by Moody's Investors Service.

    Data Solutions is also the home of NewsEdge, the premier collection of premium and web aggregated businesses news with more than 23,000 breaking news and key trade publications, web pages, blogs and social media feeds.

    We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing, preparing, and accessing data, adding value when decisions need to be made.

    Any analytical activity depends on reliable and accessible data, and we are proud to be a mission-critical information resource for decision-makers around the world.

    Domain Overview - Data Management Platform

    Data has become a critical asset for enterprises, playing a pivotal role in various aspects of business operations and strategic decision-making.

    Our proprietary datasets power a diverse set of products and services and have an ever-increasing set of demands for expanded coverage and data quality.

    Our engineering team is going through an exciting phase of going from Data at Rest to Data in Motion using event-driven architecture (EDA) and NoSql storage technologies.

    Do you believe testing should be at the heart of any engineering effort? Do you want to help establish an Engineering culture with these fundamentals? We are expanding our Engineering teams to leverage these new technologies and modernize our entire Data Management Platform.

    Be a key contributor in the implementation of solutions

    Create cloud-native data streaming frameworks using technologies like Kafka, Flink and Kubernetes to process large datasets in near real-time, enhancing the speed and accuracy of our production data pipelines.

    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
    Refactor design and implementation for stories owned, based on requirement changes.
    Define and maintain coding standards and guide team members to comply with these standards.
    Collaborate with quality assurance engineers to fix defects.
    Minimum Bachelor's degree in Computer Science or related major from top institutions, Master's degree is a plus.
    Experience with data practices and technologies including data lake, data warehousing, 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)
    Strong experience with programming languages: Java, C#
    Microsoft Windows, Linux.
    Competent in AWS container services such as EKS and ECS
    Familiarity with AWS storage services such as DocumentDB, DynamoDB, S3

    Familiarity with databases:
    MongoDB, SQL, MySql, etc.

    Ready to revolutionize our data pipeline? 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.
    For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet
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