Data Engineer

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role.

Skills and Competencies

• 1+ years of experience within a data engineering or software development team
• Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats
• Hands-on experience with Apache Airflow, dbt, and Python
• Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks
• Experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with strong communication skills for both technical and non-technical audiences
• Awareness of AI-assisted development tools (e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency
• Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements

Education

• Bachelor's degree or equivalet experience; Master's degree is a plus

Responsibilities

In this role, you will design, build, and support highly scalable data engineering solutions that power Moody's next generation digital content platform.

• Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS
• Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades
• Collaborate with Moody's technical teams and business partners throughout design and implementation phases
• Engage cross-functional teams to understand data requirements and deliver scalable solutions
• Educate and mentor others through code reviews, documentation, and workshops

About the Team

The Digital Content & Innovations Data Engineering team is a collaborative, forward thinking group focused on building highly available, cloud native data solutions that power Moody's digital content ecosystem. The team partners closely with multiple engineering and product teams to drive modernization, implement scalable architectures, and deliver innovative solutions that enable reliable, high quality content experiences for users across Moody's