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. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this chance 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.

Skills And Competencies





7+ years of experience developing and managing large-scale data infrastructure and artificial intelligence applications
Proficiency in designing scalable, fault-tolerant data infrastructure on Amazon Web Services using Redshift, Relational Database Service, Glue, Elastic MapReduce, and related services
Advanced skills in Python, PySpark, and Structured Query Language for efficient data manipulation and processing
Experience with big data and real-time processing technologies, including Apache Spark, Hadoop, Kafka, and Amazon Kinesis
Experience with data modelling and database design across Structured Query Language and NoSQL platforms
Understanding of data governance, data quality, and security best practices
Ability to translate business requirements into technical solutions in partnership with data scientists, analysts, and cross-functional stakeholders, supported by strong communication, leadership, and problem-solving skills
Deep e

📌 Manager-Data Engineering (Bengaluru)
🏢 Moody's
📍 Bengaluru