Lead Software Engineer - Data Engineering

Job Description

Career Area:Technology, Digital and DataYour Work Shapes the World at Caterpillar Inc. When you join Caterpillar, youre joining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We dont just talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.Your Impact Shapes the World at Caterpillar IncWhen you join Caterpillar, youre joining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We dont just talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.What does it mean to live the Caterpillar Experience It means you play a part in building a better world. You contribute to a winning culturea spirit of accountabilitythat has driven change on every continent for more than 90 years. To work with us is a commitment to improve sustainability, invent for the digital age and innovate in order to bring solutions to millions of people. Sure, you work for Caterpillar. But more importantly, you work for the good of your career, your family, your community, and your world.Job SummaryWe are seeking a highly skilled Lead Software Engineer - Data Engineering the development of Caterpillars next-generation Digital Manufacturing Data Platform. This platform enables large-scale data ingestion, transformation, and analytics across manufacturing, supply chain, and engineering ecosystems.The ideal candidate will bring deep expertise in data engineering, large-scale data ingestion, AWS-based architectures, and Snowflake, along with strong leadership and software engineering discipline.The preference for this role is to be based out of Chennai - Brigade World Trade CenterWhat You Will Do:Leadership & Delivery Lead and mentor a team of data engineers and platform developers Drive Agile execution and ensure predictable, high-quality delivery Establish engineering best practices, code quality, and CI/CD standards Data Platform & Architecture Architect scalable and secure data platforms on AWS Design robust data ingestion frameworks for batch and near real-time pipelines Define best practices in data modeling, governance, and metadata management Data Engineering & Ingestion Lead design and development of scalable ingestion pipelines (structured and unstructured data) Build and optimize Snowflake-based data platforms for performance and cost Enable ingestion of diverse sources (databases, APIs, files, streaming data) Cloud & Platform Engineering Leverage AWS services (S3, Glue, Lambda, EMR, Redshift, etc.) for end-to-end pipelines Implement CI/CD pipelines using Azure DevOps / Jenkins Ensure system scalability, resiliency, and operational readiness Software Engineering Excellence Enforce software engineering principles (modular design, code quality, testing, version control) Drive automation and continuous improvement Promote reusable frameworks for ingestion and transformationStakeholder Collaboration Partner with product managers, SMEs, and business stakeholders Translate business needs into scalable data solutionsWhat You Have:10 years of experience in Data Engineering / Data Platform rolesStrong experience in AWS data ecosystem (S3, Glue, Lambda, EMR, Redshift)Deep expertise in Snowflake (architecture, optimization, data modeling)Strong programming skills in Python and SQLExtensive experience with data ingestion pipelines and ETL/ELT frameworksExposure to real-time streaming (Kafka, Spark Streaming) Experience with CI/CD tools (GitHub, Jenkins, AWS CloudFormation etc.)Solid understanding of distributed systems and scalable architectures Strong foundation in software engineering principles (Git, testing, design patterns) Experienced in working with Agile teamsCollaborate with Data Science and AI teams to operationalize ML models and analytics workflows.Promote integration of AI capabilities into data engineering pipelines (e.g., GenAI, MCP, ATA).Support real-time analytics and edge AI use cases in manufacturing environments.Use AI extensively in building and testing Data Ingestion and Data pipelineThis position requires candidate to work a 5-day -a -week schedule in the officeNice-to-Have SkillsExperience with Graph Databases (Neo4j, Neptune)Experience with Vector Databases (Milvus, OpenSearch)Knowledge of NVIDIA ecosystem and RAPIDS (cuDF, cuML, cuGraph)Experience integrating AI/ML pipelines or GenAI workflowsQualificationsBachelors or Masters degree in Computer Science / Career Area

Keyskills :
Data EngineeringAWSSnowflakePythonSQLETLGitAgileData Science