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Data Software Engineering

Data software engineering is a discipline that combines software engineering principles with the management, processing, and analysis to create software systems that handle large volumes of data. It encompasses tasks like datastore design, data processing, security, and algorithm development for various data-related functions. 

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What tasks do Data Software engineers have?

Data software engineers develop applications and infrastructure for efficient data management, facilitating informed business decisions. They focus on tasks like database design, managing data systems such as warehouses, mesh, and lakehouses. Their responsibilities extend to crafting algorithms for data processing, including tasks like cleaning, normalization, and transformation. Proficient in technologies like Hadoop and Apache Spark, they optimize data systems for efficiency, undertaking tasks such as tuning queries, enhancing code efficiency, and leveraging caching mechanisms.

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Choose Data Software Engineering if you have:

  • English fluency at the Upper-Intermediate level (B2) or higher
  • Strong Python programming skills
  • Practical experience in one of the additional languages (Java or Scala)
  • Solid knowledge of Relational Database Management System (DBMS) theory
  • Good command of Structured Query Language (DML/DDL/DCL/TCL)
  • Theoretical knowledge of DWH/Data Lake and one of the visualization tools
  • Basic understanding of Linux, Docker and Kubernetes

What will you learn?

We focus on providing motivated novices with the essential skillset for the powerful start in IT. Our graduates gain the knowledge, skills and hands-on experience required to step straight into working on real-life projects. 

Our Data Software Engineering training programs aim to equip you with essential expertise. Engaging in our training will help you to:

  • Develop proficiency in software development technologies and Git
  • Explore the features of major public cloud platforms
  • Understand the design, development, and maintenance of large data-volume software systems

Acquire knowledge in large-scale data handling technologies such as Hadoop, Apache Spark, Kafka, etc.

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Useful Data Software Engineering materials

Explore our blog articles to learn about Data Software Engineering, the benefits of starting a career in developing data solutions, and prepare for a powerful start:

 

What is Data Software Engineering and what does it mean to be Data Software Engineer?

Myths about Big Data, or Welcome to the Premier League

Big Data for everyone. An inside into technologies of tomorrow

Growing to Data engineer

Ready to jumpstart your IT career in Data Software Engineering?
Check out the list of available programs and apply!
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