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Strong multinational brand, metro location, and broad full-stack data platform requirements increase applicant competition.
Core data engineering skills are transferable, though manufacturing domain familiarity is beneficial.
Mandatory 10+ years and specific Snowflake/AWS/leadership requirements raise strictness.
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Lead and mentor a data engineering team to deliver Caterpillar’s Digital Manufacturing Data Platform focusing on large-scale data ingestion, transformation, and analytics.
Architect and implement scalable, secure data platforms and ingestion pipelines on AWS, with emphasis on Snowflake optimization and CI/CD processes.
Collaborate with cross-functional stakeholders to translate business requirements into high-quality, operational data solutions supporting real-time and AI-enabled analytics.
10+ years of experience in Data Engineering / Data Platform roles.
Strong expertise in AWS data services (S3, Glue, Lambda, EMR, Redshift) and Snowflake, including architecture and performance optimization.
Proficiency in Python, SQL, and building scalable ingestion pipelines for structured and unstructured data.
Must work 5 days a week from the office location in Chennai (Brigade World Trade Center).
Demonstrated leadership in delivering large-scale cloud-based data engineering platforms using modern AWS architectures and Snowflake.
Experienced in Agile environments with strong software engineering discipline including CI/CD, modular design, and automation.
Ability to integrate AI/ML workflows into data platforms and collaborate effectively with business and technical stakeholders in manufacturing or supply chain contexts.