Data Analytics Engineering Trainee

If you are interested in creating data products and exploring the power of data to turn raw information into valuable insights for business growth, then this expert-led program is for you.

Join us to build or expand your skills through immersive, hands-on learning in three core areas:

• Data Integration. Master the art of developing and managing diverse data transformations and migrations.
• Data Visualization. Discover how to transform raw data into meaningful insights and present them through clear, engaging dashboards for better decision-making.
• Data Quality. Learn to ensure data is trustworthy, complete and accurate by testing the work of other data engineers, performing validations and re-creating logic to confirm it functions as expected.

After successfully completing all program stages, you will gain market-oriented soft and hard skills, which you may further apply at EPAM or elsewhere in the IT industry.

Training process

The program is designed to guide you through two engaging stages:

Stage 1: Fundamentals (3 months with ~15-20 hours per week)

At this stage, you'll build a strong foundation in Data Analytics Engineering. Here's what to expect:

• Weekly learning. Explore self-study materials, then practice through tasks and tests. Each assignment will come with a one-week deadline, helping you make steady progress.
• Guidance from mentors. Submit your practical assignments for feedback and approval from experts on a weekly basis.
• Q&A sessions. Join weekly evening meetings to discuss your questions and gain professional insights. Recordings will be available.
• Skill assessments. Participate in 2 short individual assessments, including theoretical reviews and live coding exercises.

Perform well to pass the technical interview and advance to the next level.

Stage 2: Specialization (4 months with ~20-30 hours per week)

This stage is all about taking your skills to the advanced level with a more intensive approach:

• Daily learning. Master in-depth materials and complete new practical assignments with further review every two days.
• Ongoing support. Attend daily group Q&A sessions with peers and mentors for real-time insights.
• Skill assessments. Participate in short individual assessments after each block, including theoretical reviews and live coding exercises.

Upon successful completion of both fundamentals and specialization stages, we will consider you for open entry-level positions based on your demonstrated skills and available opportunities at EPAM.

General Requirements

• Citizens of Uzbekistan and permanent residents who are eligible to work in this country
• Second-to-last or final year university students and recent graduates
• Individuals aged 18 years and older

Requirements

• English level from B2 (Upper-Intermediate) and higher
• Basic knowledge of Relational Database Management System (DBMS) theory
• Understanding of Structured Query Language (SQL)
• Familiarity with Python basics

Nice To Have

• Degree from a technical university or other educational institution with a technical specialization
• Experience in banking and technical spheres

We offer

• Industry‑focused learning with EPAM, a leader in AI transformation engineering and consulting
• Free access to materials and resources designed and regularly refreshed by practitioners
• Intensive, hands-on training through numerous practical assignments
• Regular guidance and actionable feedback from professionals
• Modern educational ecosystem supported by built‑in AI tools
• Expansion of your core expertise alongside emerging technologies such as GenAI and Cloud
• Opportunity to join the EPAM team after successfully completing all stages

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.