Netrolynx AI
Software Engineer
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About The Company
Moody's Corporation is a global leader in providing credit ratings, research, and risk analysis, empowering organizations worldwide to make informed financial decisions. With a rich history of innovation and excellence, Moody's combines deep industry expertise with cutting-edge technology to decode complex risk factors and transform them into actionable insights. The company's commitment to integrity, transparency, and inclusivity fosters a dynamic environment where diverse perspectives are valued and collaboration drives continuous improvement. As a pioneer in the ratings and risk assessment industry, Moody's is dedicated to advancing artificial intelligence and data-driven solutions to help clients navigate uncertainty and seize opportunities in an ever-changing global 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 responsible for designing, developing, and maintaining scalable data pipelines that support Moody's next-generation digital content platform. Your expertise will enable the organization to leverage vast amounts of data effectively, ensuring high-quality, reliable, and accessible information for internal teams and clients. The ideal candidate will be passionate about building innovative data solutions, collaborating with cross-functional teams, and continuously improving data infrastructure to meet evolving business needs. This position offers an exciting opportunity to work at the forefront of data engineering, contributing to Moody's mission of transforming risk assessment through technology and data excellence.
Qualifications
The successful candidate will possess a combination of technical expertise, educational background, and professional experience, including:
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- At least 1+ years of experience within a data engineering or software development team
- Hands-on experience designing and developing data integration and ETL pipelines from diverse data sources and formats
- Proficiency with Apache Airflow, dbt, and Python for data pipeline orchestration and development
- Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks
- Experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with excellent communication skills for both technical and non-technical audiences
- Awareness of AI-assisted development tools such as GitHub Copilot and generative AI coding assistants to enhance engineering productivity and code quality
- Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements
Educational qualifications include a Bachelor's degree or equivalent experience; a Master's degree is considered a plus.
Responsibilities
As a Data Engineer at Moody's, your primary responsibilities will include:
- Designing, developing, and maintaining scalable data pipelines using 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 design, development, and implementation phases to ensure alignment with strategic goals
- Engaging with cross-functional teams to gather data requirements and delivering scalable, efficient solutions that meet business needs
- Providing mentorship and guidance through code reviews, documentation, and workshops to foster a culture of continuous learning and improvement
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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 and dental insurance, retirement savings plans, paid time off, and opportunities for continuous learning and development. Employees also enjoy a flexible work environment, wellness programs, and access to resources that promote work-life balance. Moody's encourages a culture of innovation and collaboration, providing employees with the tools and support needed to excel in their careers and contribute meaningfully to the company's mission.
Equal Opportunity
Moody's Corporation is an equal opportunity employer. We are committed to fostering an inclusive environment where all qualified applicants receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We believe that diversity and inclusion are essential to our success and are dedicated to creating a workplace that reflects the global communities we serve. All employment decisions are made based on merit, qualifications, and business needs. Candidates may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading, and employment is contingent upon compliance with this policy.
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