Experience Level: Experienced Hire
Categories:
Location(s):
- 200 Wellington Street West, 15th Floor, Toronto, Ontario, M5V 3C7, CA
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
The Compliance & 3rd-Party Risk unit at Moody’s leverages data-driven insights and cutting-edge technologies to help businesses deliver prudent risk management in the KYC, Supply Chain, and Trade Credit space. We are currently seeking a Data Engineer to join our dynamic and motivated Data & Analytics team. The ideal candidate will have a strong foundation in data engineering concepts such as pipelines, orchestration and streaming; as well as a passion for working with cutting-edge technologies to ensure clean, quality, and usable data is democratized to the business.
In this role, you will be highly involved working on creating foundational data models and data products within our data warehouse which supports various business and product reporting needs. In your day-to-day you will be working in a squad consisting of data engineers, analysts, software engineers, and product managers.
The Work:
- Develop and maintain product-specific data pipelines to ensure the timely and accurate flow of data from various sources to our Databricks platform.
- With the guidance of technical peers, learn to work with business and other cross-functional team members to identify, integrate, and distribute data data from sources to destinations.
- Work on project squads adhering to project management best practices and participating in scrum ceremonies
- Gain an understanding of data usage patterns and requirements within the organization to design and implement appropriate data models in the data warehouse, ensuring compliance with industry regulations.
- Utilize Databricks and AWS/GCP services to manage, store, and process data, ensuring optimal performance, security, and scalability while adhering to data protection standards.
- Leverage orchestration tools, such as Databricks Workflows or Airflow, to orchestrate and monitor data pipelines, ensuring seamless integration, data quality, and compliance with regulatory requirements.
- Implement data transformation and validation processes using dbt and SQL to ensure data accuracy, consistency, and regulatory compliance across the organization.
- Continuously monitor, troubleshoot, and optimize data pipelines to ensure data reliability, performance, and adherence to best practices and industry regulations
- Stay current with industry trends, emerging technologies, and regulatory changes to ensure the company remains at the forefront of data engineering best practices in the compliance and AML space.
Qualifications
- 0-2+ years of experience in data, or backend engineering roles
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Some understanding of data engineering concepts such as orchestration & pipelining, data modeling, streaming and warehousing
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Eagerness to learn new technologies and adapt to industry trends and changes
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, place of origin, disability, marital or familial status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. We encourage applications from Aboriginal persons, members of a visible minority group, persons with a disability, members of the LGBTQ+ community, and women.
Moody’s is committed to maintaining an inclusive, diverse and accessible workplace. To this end, reasonable accommodations are available on request, and will take into account the particular accommodation needs of individual candidates. If you are selected and require accommodation during any stage of the recruitment process, you may send your request to
AODA@moodys.com. Information provided during the accommodation process will be treated as confidential, and will be shared only to the extent required to properly evaluate accommodation requests.
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.