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πŸš€Freshers Hiring at Global Payments Interns 2026 | Pune | Freshers & 2026 Batch Eligible |

By: Rohit BARAHATE

On: June 9, 2026

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Are you a student or recent graduate looking to kickstart your career in Data Engineering, Data Analytics, Cloud Technologies, and Big Data? Here’s an exciting opportunity to gain real-world industry experience with a global fintech leader!

Global Payments Inc. is actively hiring for the position of Intern in Pune, India. This internship is ideal for students from the 2026 batch who are passionate about data engineering, SQL, Python, cloud platforms, and building scalable data solutions.


πŸ“Œ Job Overview

Company: Global Payments Inc.
Position: Intern (Data Engineering)
Job ID: R0071648
Location: Pune, India
Batch Eligible: 2026
Employment Type: Full-Time Internship
Posted Date: June 07, 2026


🏒 About Global Payments

Global Payments Inc. is a leading worldwide provider of payment technology and software solutions, helping millions of businesses process transactions securely and efficiently. Operating across numerous countries, the company delivers innovative payment solutions, financial technology services, and data-driven platforms that power modern commerce.

With a strong focus on innovation, technology, and digital transformation, Global Payments offers employees and interns the opportunity to work on impactful projects while learning from industry experts.


🎯 About the Internship

As a Data Engineering Intern, you’ll work alongside experienced engineers, analysts, and data professionals to develop and maintain data pipelines, support data integration initiatives, and contribute to scalable data architectures.

This role provides practical exposure to real-world data engineering challenges while helping you build valuable technical and professional skills that are highly sought after in today’s technology industry.


πŸ’Ό Key Responsibilities


πŸ”Ή Data Pipeline Development

  • Assist in building and maintaining ETL and ELT pipelines.
  • Support data movement across multiple systems and platforms.
  • Contribute to scalable and reliable data workflows.

πŸ”Ή Data Integration

  • Work with APIs, databases, and flat files.
  • Support data ingestion into data lakes and data warehouses.
  • Ensure smooth data flow across business systems.

πŸ”Ή SQL Development & Optimization

  • Write SQL queries for data extraction and transformation.
  • Validate datasets and ensure data consistency.
  • Optimize queries for performance and efficiency.

πŸ”Ή Data Quality & Monitoring

  • Monitor pipeline performance and reliability.
  • Investigate failures and troubleshoot issues.
  • Improve data quality and validation processes.

πŸ”Ή Documentation & Collaboration

  • Document workflows, datasets, and engineering standards.
  • Collaborate with data analysts, software engineers, and data scientists.
  • Participate in code reviews and deployment activities.

πŸ”Ή Testing & Deployment

  • Support testing activities for data pipelines.
  • Assist with production deployments.
  • Follow software engineering best practices.

πŸ› οΈ Required Skills & Qualifications


Educational Requirements

πŸŽ“ Currently pursuing or recently completed a degree in:

  • Computer Science
  • Data Science
  • Information Systems
  • Information Technology
  • Related Technical Fields

Technical Skills

βœ… SQL Fundamentals
βœ… Python Programming (Preferred)
βœ… Database Concepts
βœ… Data Warehousing Basics
βœ… ETL / ELT Concepts
βœ… Git Version Control
βœ… Data Validation Techniques


Soft Skills

βœ… Analytical Thinking
βœ… Problem-Solving Skills
βœ… Communication Skills
βœ… Team Collaboration
βœ… Learning Agility
βœ… Attention to Detail


⭐ Preferred Skills


Cloud Technologies

☁️ Amazon Web Services (AWS)
☁️ Microsoft Azure
☁️ Google Cloud Platform (GCP)


Big Data & Data Engineering Tools

⚑ Apache Airflow
⚑ dbt
⚑ Apache Spark
⚑ Apache Kafka


Additional Knowledge Areas

πŸ” Data Governance
πŸ” Data Quality Frameworks
πŸ” Security Concepts
πŸ” Data Observability


Experience

  • Academic projects in Data Engineering
  • Analytics-related projects
  • Previous internships (if any)
  • Cloud-based data projects

πŸš€ Future Career Growth

Build a strong foundation for careers in:

  • Data Engineering
  • Data Analytics
  • Cloud Engineering
  • Machine Learning Engineering
  • Big Data Development
  • Data Science

πŸ“ Location

Pune, Maharashtra, India

Pune is one of India’s fastest-growing technology hubs, offering excellent opportunities for students and early-career professionals looking to build careers in software, analytics, and data engineering.


πŸŽ“ Ideal Candidate Profile

This internship is perfect for:

  • 2026 Batch Students
  • Computer Science Graduates
  • Data Science Enthusiasts
  • Aspiring Data Engineers
  • Python Developers
  • SQL Developers
  • Cloud Technology Learners
  • Big Data Aspirants

πŸ“© How to Apply

Ready to take the next step in your career?

πŸ‘‰ Application Link: Click Here


πŸ“‹ Quick Summary

CategoryDetails
CompanyGlobal Payments Inc.
PositionIntern (Data Engineering)
Job IDR0071648
Batch2026
LocationPune, India
QualificationComputer Science / Data Science / Related Degree
SkillsSQL, Python, ETL, Databases, Git
Employment TypeFull-Time Internship

πŸŽ‰ Final Thoughts

The Global Payments Data Engineering Internship 2026 is an excellent opportunity for students and fresh graduates who want to gain hands-on experience in data engineering, cloud technologies, and modern data platforms. From building ETL pipelines and writing SQL queries to learning cloud-based architectures and collaborating with industry professionals, this internship offers invaluable experience that can accelerate your technology career.

✨ Start your journey in Data Engineering with a global fintech leader and take the first step toward an exciting and rewarding technology career! πŸš€


Rohit BARAHATE

Rohit BARAHATE is a Quality Engineering Specialist with 4+ years of experience in the IT industry. With a network of over 100K+ LinkedIn connections and actively supports job seekers by sharing referral opportunities and guiding them toward successful careers.

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