Senior Data Engineer

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

realxdata – a Moody’s Analytics company provides a data driven analytics platform which supports agile investment teams, asset / portfolio managers, banks and brokers. Our SaaS solution offers vertical business intelligence, atomised rent roll analysis, and market analytics applying state-of-the-art big data and AI technologies. The platform makes holistic market data instantly accessible, creates transparency and thereby digitises the industry.

Role/Responsibilities

Be part of our journey! We are looking for a self-driven and passionate Database Engineer to join our tech team.

Your responsibilities as a data engineer will be centred around ingesting and managing data our customers rely on. Your tasks will span from designing efficient, automated ETL/ELT processes to deploying the infrastructure to run them, as well as maintaining existing applications, and exploring new technologies that can support our analytics pipeline. More specifically you will focus on:

• Designing and maintaining robust and scalable data processes.
• Handle the data lifecycle of different data sources across the organization.
• Being pivotal on data-driven decisions within the data team and across the organisation.

Qualifications

• BS/MS degree in computer science, mathematics, engineering or a related subject;
• 2+ years experience as a data engineer or related;
• Proficiency regarding data models and databases internals;
• Experience managing large amounts of structured/unstructured data;
• 3+ years of development experience in Python
• Experience with relational databases (E.g. PostgreSQL, MySQL) and NoSQL databases (E.g. MongoDB, DocumentDB).
• Familiarity with the AWS ecosystem;
• A passion for data quality and clean, documented code;
• Experience with agile practices;
• Eager to continuously bring in innovation by exploring new methods and technologies
• Good communication skills with the ability to discuss clearly complex topics
• Ability to provide direction and mentoring to junior profiles
• Fluent in English (spoken and written).

You stand out if

• Have previous experience with dbt;
• Have experience with orchestration tools like Airflow;
• Have experience with data lakes and data warehouses;
• Have experience with BigData tools like Kafka, Spark, etc.;
• You are familiar with event-driven architecture.