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Strong employer brand and metro location with senior, specialized data engineering role leads to medium competition.
Role requires deep Snowflake and AWS data platform experience, moderately limiting cross-industry fit.
Explicit 10+ years requirement plus mandatory Snowflake, AWS, and leadership make filters highly strict.
Lead and mentor a team to develop Caterpillar’s next-gen Digital Manufacturing Data Platform handling large-scale data ingestion and analytics.
Architect and optimize scalable, secure data platforms and ingestion pipelines on AWS, with strong focus on Snowflake performance and cost.
Drive Agile delivery, ensure engineering best practices, and collaborate with stakeholders to translate business needs into data solutions.
10+ years in Data Engineering or Data Platform roles with leadership experience.
Strong expertise in AWS data ecosystem (S3, Glue, Lambda, EMR, Redshift) and Snowflake including architecture and optimization.
Proficient in Python, SQL, and data ingestion pipelines with real-time streaming exposure (Kafka, Spark Streaming).
Bachelor’s or Master’s degree in Computer Science/Engineering; must work onsite 5 days a week in Chennai; Visa sponsorship not available.
Experienced in leading Agile software engineering teams delivering at scale in cloud-native environments focused on manufacturing data.
Deep technical proficiency with AWS and Snowflake platforms, coupled with solid software engineering discipline and CI/CD implementation.
Comfortable collaborating cross-functionally translating complex business needs into robust, scalable data engineering solutions supporting AI/ML integration.