
Data Analytics Engineering
- Нур-Султан
- Постоянная работа
- Полная занятость
- 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.
- 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.
- 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.
- 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.
- Second-to-last or final year university students and recent graduates, including,
- 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
- Degree from a technical university or other educational institution with a technical specialization
- Experience in banking and technical spheres
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