Senior Data Engineer

Skip to main content Go to homepage Menu Saved Jobs (0) EN Filter Languages English English Canadian Français Canadian French View all jobs Search Jobs Find jobs for Location Radius miles 5 miles 15 miles 25 miles 35 miles 50 miles Search Senior Data Engineer Bengaluru, India Apply now Save job Posted 06/23/2026 Job reference 13885 Experience level Experienced Hire Job category Engineering & Technology Line of business Insurance 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 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 Competencies6–9 years of experience in data engineering with a strong focus on scalable data platformsStrong proficiency in Python including pandas, SQLAlchemy, and PySparkHands-on experience with AWS Glue including ETL development, crawlers, and schema managementExperience working with AWS Batch and Step Functions for workflow orchestrationExpertise in Docker for containerized workloadsStrong SQL skills and experience with relational databases such as PostgreSQL and SQL ServerExperience designing and managing S3-based data lakes, including formats such as Parquet and JSON and partitioning strategiesAbility to define engineering patterns, create documentation, and mentor team membersExposure to SageMaker, data quality tools, or Infrastructure as Code (CDK/Terraform) is a plusInterest in applying AI/LLMs within data workflowsEducationBachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experienceResponsibilitiesLead the design and delivery of scalable, standardized data pipelines across multiple product teams while driving best practices in data engineering.Own end-to-end data pipeline architecture including ingestion, transformation, and productionisationBuild, maintain, and optimize AWS Glue ETL jobs and manage schema evolutionOrchestrate data workflows using AWS Batch and Step FunctionsDevelop reusable pipeline patterns, frameworks, and templates to improve scalability and efficiencyPartner with data science teams to support model deployment and operationalizationContainerize data workloads using Docker for consistency and portabilityEstablish data quality, validation, and monitoring practices across pipelinesMentor engineers and promote best practices in data engineering and platform designAbout the TeamThe team operates in a multi-squad environment focused on building scalable data platforms and pipelines. There is a strong emphasis on standardization, cross-team collaboration, and delivering high-quality, reliable data solutions that support a wide range of business and product initiatives.Moody’s is an equal opportunity employer. All qualified applicants will receive...