Moodys Analytics - Associate Software Engineer

Associate Software Engineer - Database EngineerLocation : Bangalore, Karnataka, IN | Gurgaon, Haryana, INRole Type : Full-TimeImagine what we can DEVELOP with you :True leaders are always learning. Moody's is home to information architects, thinkers, builders, and passionate problem solvers, a collection of diverse viewpoints working together to bring out our best. Join us. Forward Together.Moody's (NYSE : MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. Moody's combines international presence with local expertise and over a century of experience in financial markets. Learn more at moodys.com.At Moody's, were taking action. Were hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. Were 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 moodys.com/diversityDepartment : MIS Technology (MIS TECH)Role/Responsibilities :Associate Software Data Engineering will help with the modernization and transformation of the data ecosystem within Moody's Investor Services (MIS).This person will build, maintain a range of data initiatives across various business areas and drive the build out modern cloud-based data engineering practices.Key responsibilities for this role include the following :- Implement the target state architecture and move data gravity from on-premises to the cloud through migration of data assets and workloads to the cloud- Create AWS Cloud Native components-based solutions for Data Mesh Implementation - Ingestion as a Service module- Build and enhance the Spark Based Framework for ingestion needs- Leverage Functional Programming approach to all the modules and Build a platform enabled with different microservices that will be cater to data mesh domain needs- Help develop baseline technology standards, tools platforms and processes in support of the overall data strategy.- Work closely with business and technology colleagues to create platforms built using modern, consumer focused technologies- Develop, build and test data engineering pipelinesQualifications :- Bachelors degree in computer science, mathematics, MIS or other related field.- 2-4 years of Data Engineering experience using Python or Java or PySpark or Java Spark.- 1-2 years of cloud-based data engineering experience/databases like AWS Data Services like Glue, Lambda, Step functions, DynamoDB, RDS Postgres, Event triggers, Lake formation- Ability to understand and operate on CI/CD Pipelines using Jenkins, CloudFormation, Terraform etc.- Ability to build, and motivate teams through times of change- Excellent communication skills with respect to both technical and non-technical audiences at various levels of the organization- Demonstrates high EQ and self-awareness.- Inspires teams to engage, innovate and deliver- Passion for end to end solutions and delighting the end user through effective listening and expectation managementMoody'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.