Caterpillar
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Chennai · On-site · 10-13 Yrs · Aug 19
Machinery Manufacturing · 10000+ Employees · Irving, US
At Caterpillar, you build what matters—whether it’s the career you want, crucial work skills, strong relationships or new digital technologies. There are big jobs to be done worldwide—building critical infrastructure, bolstering local economies, meeting the demand for energy—and that work is powered by our people. Every single Caterpillar employee moves our company forward. Piece by piece, part by part, person by person. Together we create sustainable, world-changing solutions that impact lives around the globe. Join our winning team and help build a better world.
Hiring: Engineering
What employees say
+ good for freshers , overall good
− noting to say about cons
More reviews on the company profile.
Interview experience · Inventory Analyst
My experience thru out the interview was good it was basically in terms of two rounds one virtual and final in person both were good , got immense amount of experience like faced the questions that was never expected
Difficult difficulty · Bengaluru · 512 reports
More interview insightsJob description
Overview
Career Area: Technology, Digital and Data
Responsibilities
- Leadership & Delivery
- Lead and mentor a team of data engineers and platform developers
- Drive Agile execution and ensure predictable, high-quality delivery
- Establish engineering best practices, code quality, and CI/CD standards
- Data Platform & Architecture
- Architect scalable and secure data platforms on AWS
- Design robust data ingestion frameworks for batch and near real-time pipelines
- Define best practices in data modeling, governance, and metadata management
- Data Engineering & Ingestion
- Lead design and development of scalable ingestion pipelines (structured and unstructured data)
- Build and optimize Snowflake-based data platforms for performance and cost
- Enable ingestion of diverse sources (databases, APIs, files, streaming data)
- Cloud & Platform Engineering
- Leverage AWS services (S3, Glue, Lambda, EMR, Redshift, etc.) for end-to-end pipelines
- Implement CI/CD pipelines using Azure DevOps / Jenkins
- Ensure system scalability, resiliency, and operational readiness
- Software Engineering Excellence
- Enforce software engineering principles (modular design, code quality, testing, version control)
- Drive automation and continuous improvement
- Promote reusable frameworks for ingestion and transformation
- Stakeholder Collaboration
- Partner with product managers, SMEs, and business stakeholders
- Translate business needs into scalable data solutions
Qualifications
- 10+ years of experience in Data Engineering / Data Platform roles
- Strong experience in AWS data ecosystem (S3, Glue, Lambda, EMR, Redshift)
- Deep expertise in Snowflake (architecture, optimization, data modeling)
- Strong programming skills in Python and SQL
- Extensive experience with data ingestion pipelines and ETL/ELT frameworks
- Exposure to real-time streaming (Kafka, Spark Streaming)
- Solid understanding of distributed systems and scalable architectures
- Strong foundation in software engineering principles (Git, testing, design patterns)
- Collaborate with Data Science and AI teams to operationalize ML models and analytics workflows.
- Promote integration of AI capabilities into data engineering pipelines (e.g., GenAI, MCP, ATA).
- Support real-time analytics and edge AI use cases in manufacturing environments.
- Use AI extensively in building and testing Data Ingestion and Data pipeline
- Knowledge of NVIDIA ecosystem and RAPIDS (cuDF, cuML, cuGraph)
- Bachelor’s or Master’s degree in Computer Science / Engineering
- Proven track record in leading engineering teams and delivering at scale
- Strong leadership, communication, and stakeholder management skills
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