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.
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.
Requirements:
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.
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.
Benefits of our 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.
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