Software Engineer

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. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

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.

• *Skills and Competencies**

• 2\-4 Years of firsthand experience working with Databricks in a production environment.
• Strong proficiency in managing Databricks on Azure Cloud, including performance tuning, scaling, and cost optimization.
• Hands\-on experience with SQL, Spark, Python or PySpark for data engineering and analytics use cases.
• Strong knowledge of data integration, transformation, and analytics processes within Databricks.
• Experience with CI/CD processes and tools such as GitHub Actions, Jenkins, or Azure DevOps.
• Ability to monitor, troubleshoot, and resolve issues related to Databricks jobs, clusters, and workflows.
• Experience performing data cleansing, transformation, and integration to ensure data quality and reliability.
• Ability to integrate third\-party application data into Databricks environments.
• Familiarity with Terraform or infrastructure as code concepts is beneficial.
• Familiarity with data modeling, data quality, and data governance best practices.
• Strong problem\-solving, analytical, and communication skills, with the ability to collaborate effectively across teams.

#### **Education**

• Bachelor’s or master’s degree in computer science, Information Systems, or a related field.

#### **Responsibilities**

• This role is responsible for building, managing, and optimizing Azure Databricks\-based data engineering solutions that support analytics and business needs.
• Design, develop, and implement Databricks solutions to support data integration, transformation, and analytics requirements.
• Collaborate with data architects, analysts, and other stakeholders to understand data requirements and deliver scalable solutions.
• Manage and optimize Databricks environments, including cluster configuration, performance tuning, scaling, and cost management.
• Develop, maintain, and enhance CI/CD pipelines for Databricks workloads using tools such as GitHub Actions, Jenkins, or Azure DevOps.
• Perform data cleansing, transformation, and integration to ensure high data quality and integrity.
• Integrate data from third\-party applications into Databricks to enable reliable data ingestion and processing.
• Monitor Databricks jobs, clusters, and workflows, and troubleshoot issues to ensure stable and efficient operations
• Support infrastructure automation initiatives using infrastructure as code practices where applicable.
• Contribute to technical documentation, including data flow diagrams and solution design specifications.
• Evaluate and recommend tools, technologies, and best practices to improve data engineering processes and platform effectiveness.

#### **About the Team**

The team focuses on building and maintaining scalable, cloud\-based data platforms that enable high\-quality analytics and insights for business stakeholders. Working closely with cross\-functional partners, the team emphasizes collaboration, continuous improvement, and the use of modern data engineering practices to support data\-driven decision\-making, particularly within finance\-focused use cases

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.

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.