Manager-Data Engineering

Moody; Bengaluru; On-site; INR 3,200,000 - 6,400,000; Full time

Job summary

Moody's is seeking a Manager-Data Engineering in Bengaluru to lead the design and delivery of scalable, secure data infrastructure supporting advanced analytics and AI solutions.

You will design and optimize ETL/ELT pipelines on AWS, mentor data engineers, partner with data scientists, and drive governance, quality, and security best practices across data platforms.

Qualifications

• 7+ years of experience developing and managing large-scale data infrastructure and AI applications.
• Proficiency in designing scalable data infra on AWS using Redshift, RDS, Glue, EMR and related services.
• Advanced skills in Python, PySpark, and SQL for data manipulation and processing.
• Experience with big data and real-time technologies like Spark, Hadoop, Kafka, Kinesis.
• Experience with data modelling across SQL and NoSQL platforms.
• Understanding of data governance, data quality and security best practices.
• Ability to translate business requirements into technical solutions with cross-functional partners.
• Strong leadership and communication skills; experience leading AI initiatives.

Responsibilities

• Lead the design and delivery of scalable, secure data infrastructure that supports advanced analytics and AI solutions.
• Design, implement, and maintain robust, scalable ETL/ELT processes using AWS.
• Develop and optimize data workflows using Python, PySpark, and SQL to deliver reliable performance.
• Partner with data scientists, analysts, and stakeholders to gather data requirements and deliver solutions.
• Apply data governance, quality, and security best practices across data pipelines.
• Automate and optimize data processing to improve reliability and reduce manual intervention.
• Drive adoption of emerging big data, cloud engineering, and automation practices.
• Lead and mentor data engineers, providing technical guidance and capability development.

Skills

7+ years experience

AWS data infrastructure

Python

PySpark

SQL

Big data processing

AI applications

Leadership

Education

Bachelor's or Master's in CS/SE/Data Science

AWS certification (desirable)

Tools

AWS

Redshift

RDS

Glue

EMR

Spark

Hadoop

Kafka

Kinesis

Job description

Let's begin! Manager-Data Engineering (14911)

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.

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 expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.

Education

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field
• Amazon Web Services certification, such as AWS Certified Data Analytics, or an equivalent cloud platform credential is highly desirable

Responsibilities

Lead the design and delivery of scalable, secure data infrastructure that supports advanced analytics and artificial intelligence solutions.

• Design, implement, and maintain robust, scalable, and fault-tolerant extract, transform, load and extract, load, transform processes using Amazon Web Services
• Develop and optimize data workflows using Python, PySpark, and Structured Query Language to deliver reliable performance
• Partner with data scientists, analysts, and stakeholders to gather data requirements and deliver effective technical solutions
• Apply data governance, quality, and security best practices across data pipelines
• Automate and optimize data processing to improve reliability and reduce manual intervention
• Drive the adoption of emerging big data, cloud engineering, and automation practices
• Lead and mentor data engineers, providing technical guidance and supporting capability development
• Foster teamwork, openness, and innovation within and across teams

About the Team

Moody's Ratings' AI Analytics group develops advanced machine learning and generative artificial intelligence solutions for high-profile data science initiatives. The team builds robust, scalable, and secure solutions on Amazon Web Services and promotes openness, diversity, inclusivity, respect, and a willingness to learn.

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.