Location(s):
The Alexandra 200-220, The Quays, Salford, M50 3SP, GB
Line Of Business:
Data Solutions OU(DAAS OU) Job Category: Engineering & Technology Experience Level:
Experienced Hire At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We strive 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 may still 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. Role/Responsibilities:
We are seeking a dynamic and innovative Software Engineer to join our team and play a pivotal role in transforming our data pipelines from data ingestion to data enrichment via data matching and indicators computations. If you are passionate about pushing boundaries and eager to make a significant impact, this opportunity is for you. Innovate and Transform:
Design and implement cutting-edge, event-based data engineering pipelines to ingest, enrich, match, and compute indicators. Lead with Excellence:
Ensure the seamless execution of an enterprise-grade operational ETL technology stack. Drive Impact:
Gain invaluable experience in development and product releases within a fast-paced, hyper-growth environment. Master New Skills:
Enhance your expertise with graph capabilities and entity resolution. Requirements:
Experience:
3+ years in developing automated data pipelines using tools such as Java and ETL tools like Talend/Pentaho. Technical Skills:
Working experience with querying databases such as SQL and Elasticsearch. Knowledge:
Familiarity with Graph theory applied to data, and tools like Neo4J, TigerGraph, or similar. Integration:
Working knowledge of integration patterns and CI/CD pipelines. Knowledge of Docker and K8 is a plus. Innovation:
Ability to understand, unify, and integrate internal and third-party systems using scalable data models. Problem-Solving:
An innovative approach to tackling complex issues. 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.
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Data Solutions OU(DAAS OU) Job Category: Engineering & Technology Experience Level:
Experienced Hire At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We strive 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 may still 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. Role/Responsibilities:
We are seeking a dynamic and innovative Software Engineer to join our team and play a pivotal role in transforming our data pipelines from data ingestion to data enrichment via data matching and indicators computations. If you are passionate about pushing boundaries and eager to make a significant impact, this opportunity is for you. Innovate and Transform:
Design and implement cutting-edge, event-based data engineering pipelines to ingest, enrich, match, and compute indicators. Lead with Excellence:
Ensure the seamless execution of an enterprise-grade operational ETL technology stack. Drive Impact:
Gain invaluable experience in development and product releases within a fast-paced, hyper-growth environment. Master New Skills:
Enhance your expertise with graph capabilities and entity resolution. Requirements:
Experience:
3+ years in developing automated data pipelines using tools such as Java and ETL tools like Talend/Pentaho. Technical Skills:
Working experience with querying databases such as SQL and Elasticsearch. Knowledge:
Familiarity with Graph theory applied to data, and tools like Neo4J, TigerGraph, or similar. Integration:
Working knowledge of integration patterns and CI/CD pipelines. Knowledge of Docker and K8 is a plus. Innovation:
Ability to understand, unify, and integrate internal and third-party systems using scalable data models. Problem-Solving:
An innovative approach to tackling complex issues. 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.
#J-18808-Ljbffr
