Lead Data Engineer
@ Caterpillar Inc.

Bangalore, Karnataka, India
₹0
On Site
Posted 24 days ago

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Job Details

Overview

Join Caterpillar Inc., a global leader in manufacturing innovation and sustainability. As the Lead Data Engineer, you will help shape data infrastructure that powers real-time analytics, intelligent automation, and predictive insights.

Job Summary

This role is based out of Bangalore, India. You will lead a team of data engineers, design scalable data solutions, and collaborate with cross-functional teams to align data initiatives with strategic business goals.

Key Responsibilities

  • Lead and mentor a team of data engineers across projects.
  • Design and implement robust data pipelines integrating multiple systems.
  • Develop ETL workflows using tools such as Snowflake.
  • Enable real-time analytics and BI dashboards using Power BI or Tableau.
  • Implement data governance frameworks and ensure compliance.
  • Collaborate with stakeholders to drive operational excellence.

Desired Skills & Experience

Experience in SQL, Python, ETL, cloud platforms (AWS, Azure, GCP), and data warehousing is essential. Familiarity with Agile tools such as Azure DevOps and JIRA is beneficial.

Additional Benefits

  • Work Life Harmony
  • Earned and medical leave
  • Relocation assistance
  • Career development opportunities
  • Comprehensive health coverage
  • Employee bonus and incentive plans

Key Skills/Competency

  • Data Engineering
  • ETL
  • SQL
  • Python
  • Cloud Platforms
  • Team Leadership
  • Data Warehousing
  • BI Tools
  • Agile Methodologies
  • Data Governance
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How to Get Hired at Caterpillar Inc.

🎯 Tips for Getting Hired

  • Research Caterpillar Inc. culture: Understand mission, values, and recent projects.
  • Tailor your resume: Highlight data engineering and leadership skills.
  • Showcase ETL expertise: Detail experiences with Snowflake and SQL.
  • Prepare for technical interviews: Practice cloud platforms and Python challenges.
  • Network strategically: Connect with current employees on LinkedIn.

📝 Interview Preparation Advice

Technical Preparation

Review ETL tools and Snowflake usage.
Practice SQL and Python coding exercises.
Study cloud platform services basics.
Understand data pipeline architecture design.

Behavioral Questions

Describe a time you led a team.
Explain prioritization under tight deadlines.
Detail handling cross-functional conflicts.
Discuss adapting to new technical challenges.

Frequently Asked Questions