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Strong employer brand and metro location increase applicants, but seniority and niche Snowflake skills reduce competition.
Core data engineering skills transferable, but manufacturing and edge-AI context require domain knowledge.
Explicit 10+ years and mandatory Snowflake/AWS/leadership skills create strict shortlisting.
Lead and mentor a team of data engineers to develop Caterpillar's next-generation Digital Manufacturing Data Platform focused on large-scale data ingestion, transformation, and analytics.
Architect and build scalable, secure data platforms and ingestion pipelines on AWS using Snowflake, supporting batch and near real-time data processing.
Drive Agile delivery, establish engineering best practices, CI/CD standards, and collaborate with stakeholders to translate business needs into scalable data solutions.
10+ years of experience in Data Engineering or Data Platform roles.
Strong expertise in AWS data services (S3, Glue, Lambda, EMR, Redshift) and Snowflake architecture and optimization.
Proficient in Python and SQL, with deep experience in scalable data ingestion pipelines and ETL/ELT frameworks.
Role requires onsite work 5 days a week in Chennai (Brigade World Trade Center); visa sponsorship not available.
Proven leadership experience managing and delivering complex data engineering projects at scale in Agile environments.
Hands-on expertise in architecting cloud-native data platforms with Snowflake and AWS, including CI/CD pipeline implementation.
Experience collaborating with Data Science and AI teams to operationalize ML models and integrate AI capabilities into data pipelines, especially in manufacturing contexts.