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 skills that 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 positions based on your demonstrated skills and available opportunities at EPAM.
Requirements for Training
- Citizens of Türkiye
- Graduates and senior university students
- Individuals aged 18 years and older
Skills 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
- Industry-focused education with EPAM, a leading software engineering company
- Intensive, hands-on learning through numerous practical assignments
- Free access to top-notch educational materials and resources
- Regular guidance from seasoned mentors throughout your training
- Deep dive into your specialization and emerging technologies like GenAI and Cloud
- Opportunity to join the EPAM team upon successful completion of all stages
