Intern

The interview process at Global Payments typically starts with a timed online aptitude test, followed by a technical interview that probes SQL query writing, Python scripting, and basic data‑engineering concepts. The final HR round assesses cultural fit, communication skills, and internship expectations. Candidates should practice problem‑solving speed and be ready to discuss any academic projects related to data pipelines.

Round 1: Online Aptitude Test (Logical Reasoning, Quantitative, Verbal) → Round 2: Technical Interview (SQL, Python, Data Engineering concepts) → Round 3: HR Interview (fitment, communication, internship expectations)

Global Payments promotes a collaborative and inclusive work environment where employees are encouraged to share ideas and experiment with new technologies. The company offers structured learning programs, mentorship, and a healthy work‑life balance, allowing interns to grow both technically and professionally.

Currently pursuing or recently completed a B.Tech/M.Tech/BS/MS in Computer Science, Data Science, Information Systems, or a related discipline. Minimum aggregate of 60% (or CGPA 6.0/10). Open to 2026 batch candidates. No backlogs allowed at the time of joining. Must have basic knowledge of SQL and Python, and familiarity with Git.

Global Payments is a leading worldwide provider of payment technology and software solutions, serving merchants, issuers, and consumers across more than 100 countries. With a strong focus on innovation, the company helps businesses of all sizes accept payments securely and efficiently, leveraging cloud‑native platforms and advanced data analytics. In India, Global Payments has been expanding its footprint, partnering with local banks and fintech firms to deliver seamless, omnichannel payment experiences. The organization prides itself on a collaborative culture, continuous learning, and a commitment to diversity and inclusion, making it an attractive destination for fresh talent. The Intern role is designed for students who are eager to dive into the world of data engineering and analytics. As a data‑focused intern, you will work closely with senior engineers and data scientists to build, test, and maintain ETL/ELT pipelines that move structured and unstructured data from source systems into the company’s data lake and warehouse. You will gain hands‑on exposure to real‑time data ingestion, SQL query optimization, and cloud‑based data orchestration tools, while also contributing to documentation and data‑quality initiatives. This position offers a unique blend of technical challenges and cross‑functional collaboration, preparing you for a full‑time career in data engineering. **Key Responsibilities** 1. Assist in designing, developing, and maintaining ETL/ELT pipelines for diverse data sources. 2. Support data ingestion from APIs, relational databases, and flat files into data lakes/warehouses. 3. Write, test, and optimize SQL queries for transformation and validation tasks. 4. Monitor pipeline performance, troubleshoot failures, and implement improvements. 5. Contribute to data modeling, schema design, and documentation of datasets. 6. Collaborate with analysts, data scientists, and software engineers to understand business data needs. 7. Participate in code reviews, unit testing, and deployment processes. 8. Help implement data‑quality checks, governance standards, and basic security controls. 9. Document workflow processes and create knowledge‑base articles for the team. 10. Stay updated with emerging data‑engineering tools and best practices. **Tech Stack**: SQL, Python, Git, AWS (or Azure/GCP), Airflow, dbt, Spark, Kafka (academic/project level acceptable). **Growth Path**: Successful interns often transition to full‑time Data Engineer or Business Analyst roles, with opportunities to specialize in cloud data platforms, machine‑learning pipelines, or data‑governance. **Why Join Global Payments?** The internship provides exposure to a global payments ecosystem, mentorship from industry experts, and the chance to work on production‑grade data pipelines that impact millions of transactions daily. The company’s emphasis on learning, inclusive culture, and clear career progression makes it an ideal launchpad for aspiring data professionals.