Data Analytics Engineering Trainee

26 Декабря

Партнерские Вакансии

Компания "Epam Kazakhstan (Эпам Казахстан),ТОО"

Striving to gain market-oriented knowledge and skills to jumpstart your career in IT? Apply for this program and shape your professional path with EPAM experts.

Details

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.

What do we offer?

• Industry-based education. As a leading software engineering company, we will help you explore emerging technologies and best practices that the market demands.
• Top-notch learning materials. Our Data & Analytics specialists with extensive project experience have designed and tested the educational content in numerous training runs.
• Practice-oriented approach. This comprehensive program focuses on providing you with hands-on experience and practical application of the concepts learned.
• Deep dive into the specialization. Our graduates become highly skilled specialists ready to face complex technical challenges and work with the world's leading clients.
• Support from experienced mentors. We will guide you at all training stages, covering your open questions and sharing feedback on assigned tasks.
• Career advancement. 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.

Training process

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

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

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

• Weekly learning. Explore video lessons and self-study materials, then practice through tasks and tests – all within set deadlines to ensure steady progress.
• Mentor guidance. Submit your weekly practical assignments for feedback and approval from expert mentors.
• Interactive support. Join weekly group Q&A sessions with professionals to discuss questions and deepen your understanding.
• Skill assessments. Participate in 3 individual short 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 ~30 hours per week)

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

• Daily learning. Complete daily practical assignments that will challenge and grow your expertise.
• Group support. Attend daily group Q&A sessions with peers and mentors for real-time insights.
• Self-study. Continue exploring in-depth materials to master specialized topics.

By the end, you'll acquire job-ready skills to tackle real-world data challenges confidently.

What is required for training:

Profile requirements:

• Second-to-last or final year university students and recent graduates, including,

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