Software Engineer

Responsibilities

• Build, manage, and optimize Azure Databricks-based data engineering solutions to support scalable analytics and business intelligence.
• Design, develop, and implement Databricks solutions for data integration, transformation, and analytics requirements.
• Manage Databricks environments, including cluster configuration, performance tuning, scaling, and cost management.
• Develop and maintain CI/CD pipelines for Databricks workloads using tools like GitHub Actions, Jenkins, or Azure DevOps.
• Perform data cleansing and integration to ensure high data quality and reliability.
• Monitor Databricks jobs, clusters, and workflows to troubleshoot and resolve issues.
• Collaborate with data architects and stakeholders to deliver scalable data solutions.

Requirements

• 2-4 years of firsthand experience working with Databricks in a production environment.
• Strong proficiency in managing Databricks on Azure Cloud.
• Hands-on experience with SQL, Spark, Python, or PySpark.
• Experience with CI/CD processes and tools (GitHub Actions, Jenkins, or Azure DevOps).
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Strong problem-solving, analytical, and communication skills.

Preferred Qualifications

• Familiarity with Terraform or infrastructure as code (IaC) concepts.
• Knowledge of data modeling, data quality, and data governance best practices.
• Experience integrating third-party application data into Databricks environments.

About the Company

Moody's is a global leader in ratings and integrated risk assessment. We are transforming how the world sees risk by advancing AI to move from insight to action, helping our clients navigate uncertainty with clarity, speed, and confidence.