Moody’s is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don’t meet every single requirement, please apply! You may be a perfect fit for this role or other open roles. Moody’s is a global integrated risk assessment firm that empowers organizations to make better decisions. At Moody’s, we’re taking action. We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversity At Moody’s Analytics, we are more than just a team – we are a dynamic group of information architects, innovative thinkers, and passionate problem solvers. We invite you to be a part of our mission to ensure the utmost reliability and accuracy of our data systems. As our Data Reliability Engineer, you’ll be an integral player in a team dedicated to excellence. We believe in moving forward together, combining our efforts to foster shared progress through transparency, informed decisions, and broad access to information. Key Responsibilities: Champion Data Integrity: Be the guardian of data accuracy across our systems, embodying our commitment to quality and reliability. Help us define and write tests that validate business rules, and performing rigorous testing to ensure data quality Innovate in Error Resolution: Proactively discover and quickly resolve data discrepancies, leveraging technologies like Snowflake and dbt. Craft Cutting-edge Systems: Design and maintain systems for data monitoring and exploration, using Python, Airflow, and AWS as your tools of choice. Enhance Deployment and Validation Processes: Take the initiative in refining deployment strategies, ensuring post-deployment validations of data are thorough and accurate. Coordinate testing with downstream applications, ensuring seamless integration and minimizing disruptions to data flow. Collaborate for Success: Partner with cross-functional teams, sharing your expertise and absorbing theirs, to enhance our collective understanding of data integrity. Communicate and Document: Create impactful reports and maintain detailed documentation, reflecting our dedication to clarity and transparency. Embrace Continuous Learning: Stay ahead of the curve in data technology, bringing innovative and efficient practices to our data systems. Qualifications A degree in Computer Science, Information Technology, Data Science, or related fields, reflecting a strong foundation. 3+ years experience Demonstrated experience in data engineering or quality assurance, showcasing your journey. Expertise in Python, Airflow, AWS, Snowflake, and dbt – the tools that empower our data integrity. A problem-solver’s mindset and excellent communication skills, echoing our ethos of collaborative growth. What We Offer A vibrant and challenging environment, where learning never stops. A competitive package, acknowledging your valuable contribution. A commitment to diversity, equity, and inclusion, ensuring every voice is heard and valued. Opportunities for personal and professional development, in line with our belief in nurturing talent. Join us, and let’s advance together in a journey of shared progress and innovation. Your role as a Data Reliability Engineer is not just a position – it’s a pathway to making a significant impact in a half billion dollar enterprise. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Information technology (IT) Data Science Airflow Python Quality Assurance (QA) Amazon Web Services (AWS) Computer Science snowflake-cloud-data-platform DBT