Imagine what we can DEVELOP with you

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Moody’s (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. With over 11,000 employees in more than 40 countries, Moody’s combines international presence with local expertise and over a century of experience in financial markets. Learn more atmoodys.com.

Moody’s Analytics provides financial intelligence and analytical tools supporting our clients’ growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps today’s business leaders confidently navigate an evolving marketplace.

Department

The Data Solutions division is the commercial data business of Moody’s Analytics, bringing together a vast catalogue of data to help business decision-makers assess risks and opportunities. We are best known for Orbis, the world’s most comprehensive database of public and private companies. We are also the definitive source of ratings-related data for companies and securities that have been rated by Moody’s Investors Service. We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing, preparing and accessing data, adding value when decisions need to be made. Any analytical activity depends on reliable and accessible data, and we are proud to be a mission-critical information resource for decision-makers around the world.

Role/Responsibilities

Role Summary
Ever wanted to turn a gas powered lawn mower into a space vehicle capable of reaching Mars? DO the concepts event-based, serverless, cloud-native and data lake(purified) set off any bells and whistles for you?

We are looking for a strong innovative data services cloud engineer who is looking to push the limits and be an integral part of rebuilding our data pipelines from ingestion to distribution using the latest cloud based technologies. This role will be a key contributor to the design and implementation of data engineering pipelines to ingest internal and external data sources and to facilitate the external systems for distribution to our customers. Ensure overall execution of enterprise grade operational data lake leveraging serverless technology stack. Will lead by the experience in development and product releases in a fast -paced, hyper growth environment. Should be hands-on and eager to make an immediate impact upon joining the team.

Key Responsibilities and Duties

• Be a key contributor in the overall architecture of the solution to insure its interoperability within Data Solutions platforms and other MA platforms
• Able to operate within a lean agile team of cloud software engineers to partner with business and technology teams to design and develop scalable and highly available cloud-native solution
• Design and develop cutting-edge enterprise data solutions in a fast-paced environment
• Design and code modern solutions to tough data challenges leveraging the cloud
• Collaborate with sharp, passionate teammates, provide feedback on others’ work, and encourage innovation and best practices internally and externally
• Automate CI/CD processes for cloud native and container-based applications
• Develop systems to automate cloud operations and application support tasks
• Provide world-class support across cloud engineering, operations and applications
• Leverage tools such as JIRA and Confluence to track requirements and provide visibility into the development process Designing cloud-infrastructure architecture options for our data pipelines and stores
• Further developing subject matter expertise in data and cloud architecture and technologies to support initiatives across the business vertical and company
• Refining data-governance and compliance standards to ensure the security and auditability of the data platform
• Learning, understanding, and assisting with the operational management of the existing on-premises data applications and infrastructure and migrate to serverless cloud architecture
• Prioritize, self-direct and execute at velocity
• Aggressively grow your skillset and expertise to meet emerging needs

Qualifications

• Strategic partner: You take the big picture view, whether you’re participating in architecture migrations or maintaining critical relationships with vendors and business partners
• Systems-level engineer: Working hand-in-hand with your business partners, you’ll develop technical requirements and design robust and flexible product and system architectures
• BS or Higher in Computer Science or related technical field required.
• Experience with Data practices and technologies including data lake, data warehousing, data integration patterns (ETL, services, messaging), analytics and business intelligence.
• Proven and demonstrated experience in working with open source frameworks and developing native Cloud solutions.
• Hands-on experience developing systems that leverage multiple AWS services including CloudFormation, Lambda, Python, API Gateway, S3, DynamoDB/ any NoSQL, Relational Database Service (RDS), Glue Catalog & ETLs, Athena and QuickSight
• Intermediate to expert-level knowledge of SQL, Python for serverless architecture in AWS (Lambda) and data engineering, Spark and AWS Glue for big data processing.
• Working knowledge of integration patterns and CI/CD pipelines.
• Demonstrate robust debugging skills, and enforcing strict standards for code quality on python (or similar) libraries.
• Experience working with Agile methodologies (Scrum, Lean Startup, XP) and multi-functional teams (Product Owners, Scrum Masters, Developers, Designers, Data Analysts)
• Proven and demonstrated experience with DevOps concepts (serverless architectures, site reliability, deployment automation, Containers & Kubernetes, cloud cost reduction strategies)
• Innovative approach to solving complex issues and problems.
• 5+ years of core experience in enterprise grade big data cloud programs delivering as an individual contributor.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Industry Certification in AWS is a plus.
• Excellent communication skills, the ability to translate technical concepts to business concepts and vice versa
• Client focused, proactive, and results oriented

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please emailaccommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. For New York City positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the New York City Fair Chance Act. For all other applicants, qualified applicants with criminal histories will be considered for employment consistent with the requirements of applicable law.

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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.