Kazakhstan
Data Engineering (Tech Orda Voucher)
Start your journey in IT with EPAM's industry experts!
The training cost is fully covered by the Tech Orda program voucher worth 400,000 tenge, with partial funding provided by EPAM.
Pricing
Free
Program start
November
Type
Training
Language
English
Duration
27 weeks
Format
Online
Level
Specialization
Details
To get into the program, you need to undergo a preliminary competitive selection process.
The Big Data Engineering program equips you with practical skills to work with massive and complex datasets, using modern tools and technologies to extract insights and build scalable solutions.
During the program, you will:
- Work with distributed data processing and streaming technologies using Hadoop, Spark, Kafka, and Kafka Streams.
- Automate and coordinate data pipelines with Apache NiFi, StreamSets, Airflow, Oozie, and Jenkins.
- Manage data using NoSQL databases such as MongoDB, Cassandra, HBase, and explore full-text search with Elasticsearch.
By the end of the program, you’ll be ready to take on roles such as Big Data Engineer, Data Platform Specialist, or Data Engineer in data-driven companies.
Why choose this program?
- Fundamental knowledge of Big Data. The course covers a wide range of essential topics, ensuring you will understand Big Data practices holistically.
- Best engineering practices. You will practice and apply skills that meet up-to-date industrial standards alongside EPAM's leading experts.
- Hands-on experience. We emphasize practical learning by providing hands-on exercises and real-world scenarios.
What you will gain from this program:
- Understand Hadoop’s architecture and ecosystem – explore core components and learn how to work with Hive for distributed data storage and querying.
- Master real-time data processing with Apache Spark – use Spark Streaming to analyze data flows and build efficient data pipelines.
- Learn messaging systems and Kafka fundamentals – dive into Kafka’s architecture and apply it for reliable, scalable event streaming.
- Work with Kafka Streams – gain hands-on experience in developing applications for real-time data transformation and processing.
- Automate data flows with Apache NiFi and StreamSets – apply flow-based programming to design, schedule, and manage data pipelines.
- Use workflow orchestration tools effectively – understand how to coordinate tasks using Oozie, Airflow, and Jenkins in modern data projects.
- Explore Elasticsearch – learn how to use its architecture and features for full-text search and analytics.
- Understand NoSQL technologies – compare NoSQL and RDBMS, and get familiar with Cassandra, MongoDB, and HBase.
- Get introduced to cloud computing – explore key concepts of networking, identity, and security in cloud environments.
What is required for training:
- English level from B2 (Upper-Intermediate) and higher.
- Over 3 years of experience, preferably in a software engineering role or in a technical business-oriented position.
- Expertise in a modern programming language (Java, JavaScript, Python or C#).
- Compliance with the requirements of Tech Orda.
- Uploaded self-presentation video.
- Uploaded CV.
How to get started?
- Register on this page by August 14. Once you fill in all the required fields, you will find the confirmation with more details in your mailbox or notifications tab.
- Take an English test available in your profile. We expect you to complete it within 3 days after registration and reach the B2 (Upper-Intermediate) level or higher.
- Confirm your eligibility. Complete the survey to confirm your eligibility for the program within 3 days of receiving the link via email based on our partners' requirements. We will send you the link via email after you successfully complete the English test.
- Pass the Technical Assessment. You’ll have 5 days to complete it after getting access.
- Upload your self-presentation video. You’ll need to record and upload a 4-5-minute video about yourself and your motivation for joining the program within 3 days of gaining access.
- Sign the documents and complete the verification process by October 27. During this stage, you will need your ID card and digital signature.
- Receive an invitation to the program and start learning on November 11. We will share the enrollment results via email and share further instructions.
If you have any questions, feel free to reach out to [email protected] (please include the link to this program in your email).
📌Please read this additional info before registration:
- Registration is only available on this page.
You can apply for the EPAM-facilitated program within the Tech Orda initiative exclusively through this page.
- Limited number of vouchers.
The number of vouchers is limited. Enrollment will be based on the order of applications and assessment results.
- You can join only one course.
According to the final selection results, you can enroll in only one IT school and one educational program within Tech Orda.
- Not available for EPAM employees.
EPAM employees are not eligible for this course. For other opportunities, please contact your Resource Manager.
What will you learn?
The program includes 11 theoretical modules and practice:
Introduction to Data
Hadoop
Hive
Spark
Kafka
Streaming
Data Movement
Workflow
NoSQL
Elasticsearch
Cloud
Big Data Project-Based Training
Our graduates about us
“As a result, I now work as a business analyst on an international project ”
I took the Business Analysis course at EPAM. I was taught by skilled business analysts who answered all our questions and encouraged us. These talented mentors eagerly shared knowledge. Moreover, the program left almost no questions after studying the resources. You read articles, watch videos, listen to lectures, practice, receive task reviews from mentors and achieve learning success.
As a result, I gained a solid foundation and now work as a business analyst on an international project.
Viktoriya Afonina
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“This training boosted my confidence in data engineering”
The Big Data course I took offered a comprehensive and engaging learning experience. It covered key data engineering tools such as Hadoop, Hive, Spark, Elasticsearch, NoSQL, and NiFi.
Live mentor-led lectures provided clarity, while practice tasks allowed theory application. The course smoothly progressed from basic to complex topics.
This training boosted my confidence in data engineering. I highly recommend it to anyone aiming to delve into Big Data. Thanks for such a rewarding journey!
Azamat Syzdykov
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Saniya Karpykova
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The Big Data course was a transformative experience, foundational for my career. Mentors are highly engaged, constantly pushing students towards new achievements, which keeps the learning process dynamic and motivating. The study materials are well-structured and convenient to learn from, making the complex topics more accessible. The program provided me with valuable knowledge and experience in both hard and soft skills. At last, it helped me kick off my career as a Data Software Engineer.
Viktor Kim
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I learned essential skills including requirements gathering and stakeholder communication. The Capstone Project also provided practical experience.
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