Lead Software Engineer- Data Engineer
Caterpillar Inc. (company site, opens in a new tab)10+ yrsChennaiOn-siteDirect career pageEst. 30–45 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and mentor a team of data engineers to deliver Caterpillar's next-generation Digital Manufacturing Data Platform with large-scale data ingestion and analytics capabilities.
- Architect and build scalable, secure AWS-based data platforms and ingestion frameworks utilizing Snowflake and various AWS services (S3, Glue, Lambda, EMR, Redshift).
- Drive Agile execution, enforce software engineering best practices, and collaborate with stakeholders to translate business needs into scalable data solutions including operationalizing ML models and supporting real-time analytics.
Minimum Requirements
- 10+ years of experience in Data Engineering or Data Platform roles.
- Strong expertise in AWS data ecosystem (S3, Glue, Lambda, EMR, Redshift) and Snowflake (architecture, optimization, data modeling).
- Proficient in Python and SQL programming; experienced with data ingestion pipelines, ETL/ELT, real-time streaming (Kafka, Spark Streaming), and CI/CD tools (GitHub, Jenkins, AWS CloudFormation).
- Bachelor’s or Master’s degree in Computer Science or Engineering; onsite work required five days a week.
Ideal Candidate Profile
- Experienced leader capable of managing and mentoring engineering teams delivering large-scale, high-quality data platforms.
- Deep technical expertise integrating cloud-native big data solutions with strong software engineering discipline in Agile environments.
- Familiarity with operationalizing AI/ML models into data pipelines and supporting manufacturing-focused real-time analytics and edge AI use cases.