Assc Dir- Data Engineer (100% Remote - Throughout US)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

True leaders are always learning. Moody’s is home to information architects, thinkers, builders, and passionate problem solvers, a collection of diverse viewpoints working together to bring out our best. Join us. Forward Together.

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 at moodys.com.

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

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

Moody’s Analytics – Know Your Customer OU (KYC OU)
Engineering & Technology – Software Engineering

At Moody’s Analytics Know Your Customer (KYC) / Know Your Supplier (KYS), we solve problems that matter. We are a cross-functional team of sales and marketing, technology and product professionals who are all passionate about preventing criminal infiltration of the world’s financial system and bringing transparency to global supply chains by detecting fraud, terrorism, human trafficking, and other criminal threats.
We combine the agility, passion, and dynamism of a startup with the strong positioning and stability of an established institution, providing our people with dynamic career paths and mobility options across the globe, all while having access to the entire Moody’s network. We empower our people and are committed to helping them reach their goals.

Role/Responsibilities

As a Database Engineer, you will be a core member of a cross-functional team responsible for developing and executing on a vision for how to grow the KYC/KYS business monumentally through new product innovation. We practice an agile, highly customer focused, and learning-based approach to product development that aims to bring new products to market in 9-12 months.

You will be responsible for building and maintaining high quality data pipelines that drive analytic solutions. These solutions will draw on Moody’s Analytics unique and rich data sources to generate insights for innovative products that create a new standard in the KYC/KYS space. You bring not only a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows, but also a passion for translating those skills into business impact for our customers.
Specifically, you will have the opportunity to:

• Design, develop, optimize, and maintain scalable data architecture and pipelines that adhere to ETL principles and business goals
• Solve complex data problems to deliver insights that helps the organization’s business to achieve their goals
• Create data products for analytics and data scientist team members to improve their productivity
• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
• Partner with business analysts and solutions architects to develop technical architectures for strategic projects and initiatives
• Improve operational processes and documentation

Qualifications

• 5-7+ years of experience working in a fast-paced software development environment
• Graduate degree in Computer Science, MIS, or Engineering viewed favorably
• Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred)
• Experience developing and maintaining data warehouses in big data solutions
• Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)
• Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
• Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
• Experience working on a collaborative product team passionate about Agile software processes, data-driven development, and experimentation
• Excellent communication, listening, and influencing skills
• Ability to work efficiently with a solid sense for setting priorities
• Ability to guide own learning and contribute to domain knowledge building