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Strong global brand, mid-level 3+ years role, metro location, and generalist data engineering skills increase competition.
Core data engineering skills are transferable, though W&M domain knowledge provides advantage.
Explicit 3+ years requirement plus mandatory SQL, Python, and Snowflake skills tighten shortlisting.
Maintain and automate the Wear & Maintenance (W&M) data layer, transforming parts data through compatibility into service options to support digital and AI capabilities.
Develop, run, and monitor data pipelines and automation using SQL, Python, and AI-assisted tools to ensure data completeness, accuracy, and trustworthiness.
Support data analytics and quality tracking, communicating data status and quality metrics to stakeholders across functions and geographies.
3+ years of experience in data management, engineering, or analytics.
Proficiency in SQL and Python for data querying, transformation, and automation.
Must work full-time onsite at Caterpillar office in Chennai, India; up to 10% travel may be required; relocation is available, but no visa sponsorship.
Experience with data platforms and pipelines (e.g., Snowflake, ETL) and ability to build Snowflake database objects.
Experienced with complex data pipelines incorporating machine learning or AI to ensure data quality and completeness.
Familiar with AI-assisted data tooling (e.g., Model Context Protocol, LLM-based tools) to automate maintenance and classification at scale.
Comfortable communicating data quality and business needs in a cross-functional, cross-geography environment, and ideally with knowledge of Wear & Maintenance products or engineering/BOM data.