Eaton Recruitment | Apprentice – Data Engineering | Pune

Eaton Recruitment 2026: Eaton is hiring candidates for the role of Apprentice – Data Engineering in Pune. Candidates pursuing or recently completing their graduation in Computer Science, Information Technology, Data Science, Engineering, or related disciplines can utilize this opportunity. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility criteria and application process are given below.

Eaton Recruitment 2026 – Details

Job Role: Apprentice – Data Engineering

Job Category: IT Jobs

Qualification: Undergraduate or Recent Graduate in Computer Science, Information Technology, Data Science, Engineering, or Related Field

Experience: Freshers Eligible

Job Location: Pune, Maharashtra

Work Mode: Hybrid

Department: Finance

Employment Type: Apprenticeship

Last Date: ASAP

About Eaton

Eaton is an intelligent power management company dedicated to improving quality of life and protecting the environment. Founded in 1911, Eaton serves customers in more than 180 countries and helps solve global challenges through electrification and digitalization. With revenues of $27.4 billion in 2025, Eaton continues to drive innovation in power management technologies across industries including data centers, utilities, industrial automation, aerospace, mobility, and commercial sectors.

Eligibility Criteria

Candidates must possess:

• Undergraduate degree or be a recent graduate in Computer Science, Information Technology, Data Science, Engineering, or a related field
• Fundamental knowledge of SQL including SELECT statements, JOINs, and aggregations
• Basic programming knowledge in Python or similar programming languages
• Understanding of relational databases and data concepts
• Good analytical and problem-solving skills
• Strong willingness to learn and adapt to new technologies
• Effective written and verbal communication skills
• Ability to work collaboratively in a team environment

Roles & Responsibilities

Data Engineering & Platform Support

• Assist in building and maintaining enterprise data pipelines
• Support data ingestion, transformation, and validation processes
• Perform SQL and Python-based data transformations under engineering standards
• Help conduct data quality checks and reconciliation processes
• Troubleshoot basic data-related issues
• Document data pipelines, table structures, and engineering artifacts

Learning & Engineering Practices

• Learn modern data engineering methodologies and best practices
• Gain hands-on exposure to ETL and ELT pipeline development
• Understand version control systems and CI/CD fundamentals
• Follow enterprise standards for code quality and data modeling
• Participate in code reviews and technical walkthroughs
• Work with cloud data platforms including Snowflake and Azure-based services

Collaboration & Communication

• Work closely with senior data engineers, analysts, and product owners
• Understand business and technical requirements
• Participate in Agile ceremonies including sprint planning and reviews
• Communicate progress, issues, and learnings effectively with mentors and team members

Data Governance & Compliance

• Follow enterprise data governance and security standards
• Learn access control and compliance requirements
• Assist in implementing audit checks and validation controls
• Support finance data governance processes

Required Skills

• SQL Fundamentals
• Python Programming Basics
• Relational Database Concepts
• Data Analysis Fundamentals
• Problem-Solving Skills
• Analytical Thinking
• Team Collaboration
• Communication Skills
• Documentation Skills
• Learning Agility

Preferred Skills

• Exposure to Azure, AWS, or Google Cloud Platform
• Familiarity with Snowflake
• Knowledge of Apache Spark
• Understanding of Azure Data Factory (ADF)
• Experience with data integration tools
• Academic or personal projects involving databases or data pipelines
• Interest in Finance and Enterprise Data Domains

Technologies & Tools

• SQL
• Python
• Snowflake
• Azure Data Services
• AWS
• Google Cloud Platform (GCP)
• Azure Data Factory (ADF)
• ETL/ELT Tools
• Version Control Systems
• CI/CD Fundamentals

Why Join Eaton?

• Opportunity to work with a global leader in intelligent power management
• Hands-on experience with enterprise-scale data platforms
• Exposure to modern cloud data engineering technologies
• Learn from experienced data engineering professionals
• Work in a collaborative and innovative environment
• Gain practical experience in Agile development methodologies
• Strong career growth opportunities in Data Engineering and Analytics
• Exposure to finance-domain datasets and enterprise data systems
• Opportunity to contribute to digital transformation initiatives

Awards & Recognition

Eaton has been recognized globally for workplace excellence, including:

• World's Most Admired Companies (Forbes)
• World's Most Ethical Companies (Ethisphere)
• Great Place to Work – India
• Top 100 Global Most Loved Workplaces (Newsweek)
• Best Companies for Women in India
• Certified DEI Crusader Recognition
• India's Best Workplaces in Manufacturing

How to Apply for Eaton Recruitment?

Interested and eligible candidates can apply online through Eaton's official careers portal.

Steps to Apply

• Visit the official Eaton Careers website
• Search for Job Req ID: 63852
• Complete the online application form
• Upload your updated resume
• Submit the application
• Wait for further communication from the recruitment team

Click Here To Apply:

https://eaton.eightfold.ai/careers/job/687236453778

Frequently Asked Questions (FAQs)

1. What is the role offered in Eaton Recruitment?

Eaton is hiring for the Apprentice – Data Engineering role.

2. Who can apply for this position?

Undergraduates and recent graduates in Computer Science, IT, Data Science, Engineering, or related fields can apply.

3. Is prior experience required?

No. Freshers are eligible to apply.

4. What programming skills are required?

Candidates should have basic knowledge of SQL and Python.

5. What is the job location?

The position is based in Pune, Maharashtra.

6. What cloud technologies will candidates be exposed to?

Candidates may gain experience with Snowflake, Azure Data Services, AWS, and other enterprise cloud platforms.

7. What is the work model?

The role follows a Hybrid work model.

Disclaimer

This job listing is shared solely for informational purposes based on publicly available sources; upGrad is not affiliated with, authorized by, or acting on behalf of the hiring company, and does not participate in or influence the recruitment process.

Applicants must apply only through the official company website and proceed at their own discretion and risk