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Let's begin! Manager-Data Engineering

Moody's


Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer
Posted: 29 August 2026 (Yesterday)
Application Deadline: 26 November 2026
Vacancies: 1 Vacancy

Job Summary

At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment were advancing AI to move from insight to actionenabling 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 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.

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

  • Bachelors or Masters 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

Moodys 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.

Moodys 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 Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys 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.


Required Experience:

Manager


About Company

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Moody's CreditView is our flagship solution for global capital markets that incorporates credit ratings, research and data from Moody's Investors Service plus research, data and content from Moody's Analytics.

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