Senior Software Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

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. With over 11,000 employees in more than 40 countries, 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, 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 moodys.com/diversity

Moody’s Investors Service is among the world’s most respected and widely utilized sources for credit ratings and research. Our opinions and analysis on a broad range of credit obligors and obligations are valued around the world for their insight and rigor.

At MIS, our workplace culture supports our mission to be the Agency of Choice for our customers, employees and future employees. Our Culture focuses on Excellence and embodies behavioral qualities such as Integrity, Responsiveness, Collaboration, Respect and Passion. Our people are our core asset and we look beyond outcomes to ensure that behaviors and interactions matter.

Department

MIS Technology (MIS TECH)

Role/Responsibilities

Data Engineer will help with the modernization and transformation of the data ecosystem within Moody’s Investor Services (MIS). This person will build and maintain data pipelines across multiple initiatives across various business areas and drive the build out modern cloud-based data engineering practices. Key responsibilities for this role include the following: Develop, build data engineering pipelines using Scala/PySpark in AWS using services like EKS, Lambda, S3, Glue, Step Functions Build ingestion as a service using the AWS Native and PySpark to facilitate the data gravity shift from on-premises to the cloud through migration of data assets and workloads to the cloud Build components in the data engineering following Test Data Driven development practices Setup CICD for all data engineering workload using AWS CodePipeline. Work closely with business and technology colleagues to create platforms built using modern, consumer focused technologies SQL skills for data profiling and analysis, and ability to reverse engineer existing databases with minimal assistance Support data requests/projects and helps to interpret data sets Perform ad-hoc data/process analysis as needed Participate in Agile scrum teams and contribute to project planning and work prioritization.

Job Knowledge and Responsibilities:

• Develop, build data engineering pipelines using Scala/PySpark in AWS using services like EKS, Lambda, S3, Glue, Step Functions
• Build ingestion as a service using the AWS Native and PySpark to facilitate the data gravity shift from on-premises to the cloud through migration of data assets and workloads to the cloud
• Build components in the data engineering following Test Data Driven development practices
• Setup CICD for all data engineering workload using AWS Cloud formation templates and Jenkins process.
• Work closely with business and technology colleagues to create platforms built using modern, consumer focused technologies
• SQL skills for data profiling and analysis, and ability to reverse engineer existing databases with minimal assistance
• Support data requests/projects and helps to interpret data sets
• Perform ad-hoc data/process analysis as needed
• Participate in Agile scrum teams and contribute to project planning and work prioritization.

Qualifications

• Bachelor’s degree in computer science, or other related field with Overall 10 years IT experience.
• 3+ years of Data Engineering experience
• 3+ years of Programming experience in Python or PySpark or Scala
• AWS Cloud based data engineering experience including RDS PostGres, Snowflake is a plus
• RestAPI based development experience is a plus
• Experience with SQL a must (any Database)
• Strong experience working in Agile environments
• Ability to coordinate and assist teams to resolve complex analytical and technical issues
• Excellent communication skills, the ability to translate technical concepts to business concepts and vice versa
• Client focused, proactive, and results oriented Configuration Management and Automation using Ansible
• Coding skills beyond scripting including developing, debugging and optimizing
• Excellent analytical skills and the ability to draw meaningful conclusions from independent research