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Tier-2 brand and Chennai metro location with senior specialized data platform role, moderate applicant competition.
Deep Snowflake, AWS, and manufacturing data platform expertise makes cross-industry fit limited.
Mandatory 10+ years, deep Snowflake/AWS/Python expertise and leadership make shortlisting highly strict.
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Lead a team of data engineers developing Caterpillar’s Digital Manufacturing Data Platform focused on large-scale data ingestion, transformation, and analytics.
Architect and optimize scalable data platforms and ingestion pipelines on AWS and Snowflake, ensuring performance, cost-effectiveness, and security.
Drive Agile execution, enforce software engineering best practices, and collaborate with product managers and business stakeholders to translate needs into scalable data solutions.
10+ years of experience in Data Engineering/Data Platform roles.
Strong expertise in AWS data services (S3, Glue, Lambda, EMR, Redshift) and Snowflake architecture and optimization.
Proficient in Python and SQL programming, data ingestion pipelines, ETL/ELT frameworks, and real-time streaming technologies like Kafka or Spark Streaming.
Must be willing to work onsite in Chennai, India, five days a week; Visa sponsorship not available.
Experienced leader capable of managing and mentoring teams to deliver complex data platform solutions at scale, with strong agile execution skills.
Deep technical expertise in cloud-native data engineering, especially AWS and Snowflake, with strong software engineering fundamentals.
Proficient collaborator able to engage with stakeholders and integrate AI/ML capabilities into data pipelines for manufacturing use cases.