Data Engineer, GigaAcademy Kosovo Program

Analyst - Data Engineering

This position is only open for External Referrals

Ready to turn bold ideas into real-world impact?

At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.

Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description -

Inviting Applications for the role of Data Engineer Intern– GigaAcademy Kosovo Program

This full-time, intensive track is designed for individuals ready to work at the frontier of Artificial Intelligence and enterprise innovation.

Participants will build a strong base in traditional AI/ML and deep learning, then advance into GenAI, LLM applications, and production-ready agentic systems aligned with real-world enterprise use cases. The program operates in a structured, high-performance environment that mirrors global engineering standards.

This track is ideal for aspiring engineers who want hands-on experience building scalable AI systems and integrating Large Language Models (LLMs) into enterprise applications.

Responsibilities

Build and work with the modern data stack including SQL, Python, Apache Spark, and end-to-end ETL pipelines

Develop strong data engineering fundamentals including:

Data modeling

Data transformation

Pipeline orchestration

Build and work with the modern data stack including SQL, Python, Apache Spark, and end-to-end ETL pipelines

Develop strong data engineering fundamentals including:

Data modeling

Data transformation

Pipeline orchestration

Gain foundational exposure to one major cloud platform (AWS, Azure, or GCP) through guided project work

Gain exposure to Data Lakes and Lakehouse architectures

Work with enterprise tools such as Databricks and Snowflake

Apply your skills through guided project simulations aligned to real-world enterprise use cases

Collaborate within structured team environments that mirror global delivery standards

Participate in daily learning sessions, hands-on labs, and performance assessments

Minimum Qualifications / Skills

Third-year university student or above, recent graduate, or professional transitioning into technology

Foundational knowledge of:

Python programming & SQL

Basic Programming Concepts

Strong analytical and problem-solving skills

High motivation to learn AI, cloud technologies, and engineering principles

Full-time availability for the 4-month intensive program

Ability to participate in daily training sessions and assessments

Good English communication skills (written and verbal)

Bonus Points/Preferred Skills:

Exposure to PyTorch or TensorFlow

Familiarity with Machine Learning or Deep Learning models

Basic understanding of LLMs and generative AI

Exposure to RAG pipelines or vector databases

Knowledge of Git and collaborative development workflows

Participation in AI-related projects, hackathons, or internships

Strong communication skills and ability to work in a team environment

Qualifications -

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications -

Certified Data Management Professional - RiversandRiversand, Cloudera Certified Professional (CCP) Data Scientist - UpgradUpgrad, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle

Required Skills -

Accounts Payable Process, Accounts Payable Process, Accounts Receivable (AR), Aerospace Manufacturing, Agile Methodology, Automotive Manufacturing, Banking Capital Markets, Claims Management, Client Relations, Collaboration Tools, Commercial Excellence, Consumer Electronics, Consumer Packaged Goods (CPG), Design Thinking, Digital Business Strategy, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion, Industrial Manufacturing Processes, Insurance, Intelligent Automation (IA), Internet Businesses, Life Science {+ 10 more}

Language

Language Proficiency -

Additional Job Location -

Job Type

Intern (Fixed Term) (Trainee)

Master Skill List -

Data Engineering

Remote Type -

Work Shift -

Why join Genpact?

Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter

Make an impact – Help global enterprises solve business challenges that matter

Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead

Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day

Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.