Associate Software Engineer

Responsibilities

• Design, develop, and maintain scalable ETL pipelines using Python, PySpark, and Databricks to ingest and integrate data from various sources
• Write, review, and tune complex SQL queries and transformations to support reporting and downstream analytics
• Implement data quality checks, monitoring, logging, and alerting to ensure the accuracy and timeliness of data products
• Partner with data engineers, analysts, and business stakeholders to translate requirements into technical specifications
• Troubleshoot production incidents, perform root-cause analysis, and apply performance improvements to pipelines and jobs
• Participate in code reviews, contribute to shared coding standards, and produce clear technical documentation

Requirements

• 3–5 years of hands-on experience developing data pipelines using Python and PySpark
• Strong proficiency with Databricks (notebooks, workflows, Delta Lake, Unity Catalog)
• Advanced SQL skills, including complex joins, window functions, and query performance tuning
• Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT best practices
• Practical experience with at least one major cloud platform (AWS, Azure, or GCP)
• Working knowledge of Git-based version control and CI/CD pipelines
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field

Preferred Qualifications

• Relevant certifications in Databricks, cloud data engineering, or data analytics
• Prior experience working with financial services, credit, or risk data
• Demonstrated proficiency in using AI tools to streamline engineering workflows

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.