Data Engineer
@ Caterpillar Inc.

Bangalore, Karnataka, India
$130,000
On Site
Full Time
Posted 17 hours ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX******* @caterpillar.com
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Job Details

About the Role

The Data Engineer role at Caterpillar is focused on designing, building, and maintaining scalable data pipelines, enabling advanced analytics and visualization to drive operational excellence in the manufacturing domain.

Key Responsibilities

  • Design and implement ETL processes from SAP and other sources
  • Develop data pipelines, ensuring high quality and consistency
  • Collaborate with analysts to build dashboards and predictive models
  • Support manufacturing domain requirements with real-time analytics
  • Maintain data lineage, metadata, and documentation

Technical & Domain Expertise

Expertise in Snowflake, SQL, Python, and ETL tools is key. Familiarity with cloud platforms such as AWS, Azure or GCP, and experience with Agile methodologies is desired.

Additional Skills and Capabilities

  • Understanding of production application systems
  • Analytical problem solving and system testing knowledge
  • Experience in application design and integration
  • Requirements analysis and documentation skills

What You'll Get

Benefits include work-life balance, relocation assistance, personal and professional development initiatives, comprehensive medical coverage, incentive bonus plans, and global career opportunities.

Key skills/competency

  • Data Engineering
  • ETL
  • SAP
  • Snowflake
  • SQL
  • Python
  • Analytics
  • Manufacturing
  • Data Warehousing
  • Cloud
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How to Get Hired at Caterpillar Inc.

🎯 Tips for Getting Hired

  • Research Caterpillar's culture: Understand their values, mission, and projects.
  • Tailor your resume: Highlight ETL, SAP, Snowflake, and Python expertise.
  • Showcase analytics skills: Emphasize dashboard and data visualization experience.
  • Prepare for technical interviews: Review ETL and data pipeline design.

📝 Interview Preparation Advice

Technical Preparation

Review ETL tool fundamentals and best practices.
Practice SQL queries and database design tasks.
Study cloud platform data warehousing concepts.
Refine Python scripting and automation skills.

Behavioral Questions

Describe collaboration in cross-functional teams.
Explain time management under shifting priorities.
Discuss handling project setbacks effectively.
Illustrate innovative problem solving with examples.

Frequently Asked Questions