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Eaton Hiring Freshers 2026: Data Engineering Apprentice | Apply Now

Eaton Off Campus Drive 2026 | Eligibility Criteria | Last Date | Apply Link

by Jyostna Biradar
April 29, 2026
0

Eaton Hiring Freshers 2026 Pune Data Engineering Apprentice Hiring

Quick Summary: Eaton is inviting applications for the Data Engineering Apprentice role at its Pune office. This hybrid position is designed for freshers and recent graduates eager to work with cloud data platforms like Snowflake and Azure while building scalable data pipelines for the Digital Finance team.

Eaton is a global intelligent power management company. Joining as a Data Engineering Apprentice allows you to work under the mentorship of senior engineers, gaining hands-on exposure to modern ELT/ETL practices, version control, and CI/CD fundamentals in an enterprise-scale environment.

Eaton Off Campus Drive 2026 | Job Overview

Details Information
🏢 Company Eaton Corporation
📌 Position Data Engineering Apprentice
🎓 Qualification BE/ B.Tech – Computer Science / IT / Data Science
💼 Experience Freshers / Recent Graduates
📍 Job Location Pune, Maharashtra (Hybrid)
🛠 Tech Stack SQL, Python, Snowflake, Azure
📅 Last Date Apply ASAP
🔗 Official Apply Eaton Careers Portal

Eligibility Criteria For Eaton Hiring Freshers 2026

Eaton is looking for enthusiastic early-career candidates with the following profile:

  • Education: Undergraduate or recent graduate in **Computer Science, IT, Data Science, Engineering**, or a related field.
  • Technical Skills:
    • Fundamental knowledge of **SQL** (JOINs, aggregations).
    • Basic programming knowledge in **Python**.
    • Understanding of relational databases (tables, keys, data types).
  • Good to Have: Exposure to cloud platforms (Azure, AWS, or GCP) and familiarity with Snowflake or Spark.
  • Soft Skills: Strong analytical skills, a willingness to learn, and clear verbal/written communication.

Key Roles & Responsibilities

As an apprentice, you will support the Digital Finance Data Engineering team with the following:

  • Data Pipeline Support: Assisting in building and maintaining pipelines for ingesting and transforming data from source systems.
  • Coding & Quality: Supporting data transformations using SQL and Python; helping with data quality checks and troubleshooting.
  • Cloud Exposure: Gaining hands-on experience with Snowflake and Azure based data services.
  • Agile Collaboration: Participating in sprint planning, backlog grooming, and code reviews within an Agile delivery model.
  • Governance: Learning and adhering to enterprise data governance, security, and access control standards.

Why Join Eaton India?

Eaton has been recognized as a **Great Place to Work** in India and is featured on the Forbes list of World’s Most Admired Companies. The company offers a strong DEI (Diversity, Equity, and Inclusion) culture and a collaborative environment for professional growth.

How to Apply For Eaton Hiring Freshers 2026?

Interested and eligible candidates can apply for Eaton Recruitment 2026 drive by clicking below link as soon as possible.

🚀 Kickstart Your Data Career: Eaton is offering a rare “Apprentice” role in Pune for 2025/2026 graduates. If you want to move beyond academic SQL projects and learn enterprise-level Snowflake and Azure data engineering from the best in the industry, this is your ideal first step. Don’t miss this hybrid opportunity at a Great Place to Work certified company!

👉 Apply Now: Eaton Data Engineering Apprentice


Frequently Asked Questions (FAQs)

1. Is this a permanent role?

The “Apprentice” title typically refers to a structured early-career program. Successful completion often leads to full-time Associate Engineer roles based on performance and business needs.

2. What does “Hybrid” work type mean at Eaton?

At Eaton Pune, hybrid usually involves a mix of working from the office (located in Hadapsar/Magarpatta area) and working from home, depending on team requirements.

3. Are non-CS engineering students eligible?

Yes, graduates from “related fields” (like ECE or EEE) with strong foundational knowledge in SQL and Python can apply.


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