The the vast amount of data and information we generate, with approximately 2.5 trillion new bytes generated every day, combined with the value they bring to businesses, means that professions related to Big Data are currently in high demand.
In this regard, according to a study by the European Commission, it is estimated that by 2020 the data market will account for more than 10 million jobs in Europe alone, doubling the sector’s market value compared to 2016.
That is why earning a master's degree in Big Data is currently one of the best options for those looking to take advantage of the many opportunities that will arise in the sector in the coming years.
Below, we'll show you some of the Big Data roles with the greatest potential and the tasks they perform:
Big Data Architect
Considered one of the most in-demand roles in the IT sector, the Big Data Architect is responsible for addressing business needs by designing Big Data solutions. To do so, they must be proficient in tools such as Hadoop and Spark and databases such as MongoDB or Cassandra.
Data Scientist
The primary role of a data scientist is to analyze and interpret large amounts of data, which is why this role is so important today. In terms of the necessary skills, this role is characterized by a strong background in statistics and programming languages.
Big Data Developer
This candidate, who will be responsible for software development tasks, must have extensive proficiency in programming languages such as Java, Python, or R, although knowledge of tools such as Spark, MapReduce, and Hive is also required.
Data Analyst
Their responsibilities include collecting, processing, and managing the data obtained in order to analyze it later and thereby derive insights that add value to the company. For this reason, data analysts are closely associated with business intelligence.
Business Analyst
This role serves as the link between the company and the departments responsible for data collection and analysis; therefore, the person in this role must have knowledge of both the company's financial controls and data management and analysis.
