Back
Senior but popular data-engineer role in a metro with broad cloud and Snowflake requirements increases competition to medium.
Core data engineering skills are transferable, though manufacturing domain experience is preferred.
Explicit 10+ years requirement plus mandatory Snowflake, AWS, Python, and ingestion experience makes shortlisting highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead development and architecture of Caterpillar’s next-generation Digital Manufacturing Data Platform enabling large-scale data ingestion, transformation, and analytics.
Lead and mentor data engineers, drive Agile execution, and enforce engineering best practices with predictable, high-quality delivery.
Architect and build scalable, secure AWS-based data platforms utilizing Snowflake; design batch and near real-time data ingestion pipelines.
10+ years experience in Data Engineering or Data Platform roles.
Strong expertise in AWS data ecosystem (S3, Glue, Lambda, EMR, Redshift) and Snowflake (architecture, optimization, data modeling).
Proficient in Python and SQL programming; experience with data ingestion pipelines and ETL/ELT frameworks.
Bachelor’s or Master’s degree in Computer Science or Engineering; onsite work required five days a week.
Experienced leader with proven track record managing engineering teams and delivering large-scale data platform solutions in Agile environments.
Deep technical skills in distributed data architectures, cloud-native AWS services, Snowflake optimization, and CI/CD tooling.
Ability to collaborate with cross-functional teams including product managers, data science, and AI to integrate ML and real-time analytics into data platforms.