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Data is becoming increasingly important in today's digital world - and Data engineers play a crucial role in understanding and managing data effectively.
If you have experience with Java or Python, join our training to further enhance your skills and launch a career in the field of data engineering!
During this course, you will learn various characteristics of big data and its sources. We will introduce you to the architectural requirements, principles of big data infrastructures, and the intersection of cloud computing with big data. You'll also get an overview of the most popular big data technologies, including core Hadoop, NoSQL databases, Apache Spark, Apache Kafka, etc.
The selection process will start after you register. The training will be self-paced and it takes ~3 months and requires ~12 hours of studying in a week.
STAGE1: SELF-PACED COURSE – 3 months
You will study theoretical materials combined with testing your knowledge with assigned tasks. The program's built-in instructions will assist you in navigating and passing it with ease.
Module 1. Basic technical self-paced courses:
You will complete this program if your score will be at least 70% and reach B2 or higher English level.
After completing this program, successful candidates will get an opportunity to continue their path to the next stage according to their level, skills, and available opportunities for future juniors.
Module 2. Data Engineering Intro self-paced courses:
You need to score at least 70%
2 STAGE. DATA ENGINEERING LAB – 3 months
This stage takes ~3 months and requires ~20 hours of workload in a week.
If you show good results during the technical interview, we will invite you to continue your studies and practice the acquired skills. It usually lasts for 3 months. There you will be offered the mentoring program with one-to-one weekly communication with production experts.
Final Technical Interview
To enhance your knowledge of Python Core and Java basics, you can explore the following useful resources:
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