Netrolynx AI
Data Engineer
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About The Company
Moody's Corporation is a globally recognized leader in credit ratings, research, and risk analysis. With a rich history spanning over a century, Moody's provides essential insights that facilitate informed decision-making for financial institutions, corporations, and governments worldwide. The company's commitment to integrity, innovation, and excellence has established it as a trusted partner in the financial services industry. Moody's continuously invests in advanced technologies and data-driven solutions to enhance its offerings and maintain its competitive edge in an evolving marketplace.
About The Role
We are seeking a highly skilled Data Engineer to join Moody's Digital Content & Innovations team. In this role, you will be instrumental in designing, developing, and maintaining scalable data engineering solutions that support Moody's next-generation digital content platform. Your expertise will help ensure the delivery of high-quality, reliable data services that empower Moody's to deliver innovative content experiences to its global user base. The ideal candidate will possess a strong background in data pipeline development, cloud technologies, and collaborative project execution within an agile environment.
Qualifications
- Bachelor's degree or equivalent experience in Computer Science, Data Engineering, or related fields; a Master's degree is a plus.
- Minimum of 1+ years of experience working within data engineering or software development teams.
- Proven experience designing and developing data integration and ETL pipelines from diverse data sources and formats.
- Hands-on expertise with Apache Airflow, dbt, and Python for data pipeline orchestration and development.
- Strong proficiency in database technologies such as Postgres SQL, DynamoDB, Snowflake, and Databricks.
- Experience working with Agile methodologies, collaborating effectively with product owners and cross-functional teams.
- Excellent communication skills, capable of conveying complex technical concepts to non-technical stakeholders.
- Familiarity with AI-assisted development tools like GitHub Copilot and generative AI coding assistants.
- Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability.
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Responsibilities
As a Data Engineer at Moody's, your primary focus will be on creating and maintaining highly scalable data pipelines that underpin the company's digital content platform. Your key responsibilities include:
- Designing, developing, and maintaining scalable data pipelines utilizing DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within an AWS cloud environment.
- Supporting platform optimization efforts, infrastructure enhancements, process control improvements, and system upgrades to ensure optimal performance and reliability.
- Collaborating closely with Moody's technical teams and business stakeholders throughout the design, development, and deployment phases to ensure alignment with business needs.
- Engaging with cross-functional teams to gather data requirements and deliver scalable, efficient solutions that meet organizational goals.
- Providing mentorship and knowledge sharing through code reviews, documentation, and conducting workshops to uplift team capabilities.
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Benefits
Moody's offers a comprehensive benefits package designed to support the well-being and professional growth of its employees. This includes competitive salary packages, health insurance plans, retirement savings options, and paid time off. Employees also have access to ongoing learning and development programs, opportunities for career advancement, and a dynamic work environment that fosters innovation and collaboration. Moody's is committed to maintaining a healthy work-life balance and providing resources that support employee wellness and engagement.
Equal Opportunity
Moody's Corporation is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that a diverse workforce enhances our ability to serve our clients and innovate effectively, and we encourage individuals from all backgrounds to apply and join our team.
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