Netrolynx AI
Data Engineer
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About The Company
Moody's Corporation is a globally recognized leader in credit rating, research, and risk analysis. With a rich history of providing innovative financial insights and data-driven solutions, Moody's empowers organizations, investors, and policymakers to make informed decisions. The company is committed to maintaining the highest standards of integrity, transparency, and excellence in all its services. As a pioneer in the financial industry, Moody's continuously invests in cutting-edge technologies and talented professionals to stay ahead in a rapidly evolving landscape.
About The Role
We are seeking a talented Data Engineer to join Moody's Digital Content & Innovations team. In this role, you will be instrumental in designing, developing, and maintaining scalable data pipelines and infrastructure that support Moody's next-generation digital content platform. The ideal candidate will have a strong background in data engineering, with hands-on experience in building data integration solutions from diverse sources and formats. You will collaborate with cross-functional teams, including technical and business stakeholders, to deliver innovative data solutions that enhance Moody's content delivery and user experience. This position offers an exciting opportunity to work on high-impact projects within a dynamic, forward-thinking environment, leveraging cloud-native technologies and modern data engineering practices.
Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; a Master's degree is a plus.
- Minimum of 1+ years of experience within a data engineering or software development team.
- Proven experience designing and developing data integration/ETL pipelines from various data sources and formats.
- Hands-on expertise with Apache Airflow, dbt, and Python programming.
- Strong database skills, including proficiency with Postgres SQL, DynamoDB, Snowflake, and Databricks.
- Experience working within Agile teams, collaborating effectively with product owners and cross-functional stakeholders.
- Excellent communication skills, capable of conveying technical concepts to non-technical audiences.
- Familiarity with AI-assisted development tools such as GitHub Copilot and generative AI coding assistants to enhance productivity and code quality.
- 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 designing, building, and supporting highly scalable data solutions that underpin the company's digital content ecosystem. Your responsibilities will include:
- Designing, developing, and maintaining scalable data pipelines utilizing DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within an AWS environment.
- Supporting platform optimization, infrastructure enhancements, process control improvements, and system upgrades to ensure high performance and reliability.
- Collaborating closely with Moody's technical teams and business partners throughout the entire lifecycle of data solutions, from conception to deployment.
- Engaging with cross-functional teams to understand complex data requirements and delivering scalable, efficient solutions that meet business needs.
- Providing mentorship and guidance through code reviews, technical documentation, and knowledge-sharing workshops to foster team growth and best practices.
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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 coverage, retirement plans, and paid time off. Employees have access to ongoing training and development programs, fostering continuous learning and career advancement. The company promotes a healthy work-life balance through flexible working arrangements and wellness initiatives. Additionally, Moody's encourages a collaborative and inclusive work environment where diverse perspectives are valued and innovation thrives.
Equal Opportunity
Moody's Corporation is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are valued, respected, and provided with equal opportunities for growth and development. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity, age, disability, or any other protected characteristic. Our commitment to diversity and inclusion is integral to our success and reflects our core values.
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