DIFFERENT TYPE OF JOB PROFILES DATA SCIENCE
TYPES OF JOB ROLES IN DATA SCIENCE Data Analyst Data Architect Data Engineer Data Scientist
DATA ENGINEER To enable Data Scientists to use the data and execute the necessary algorithms, a Data Engineer constructs and tests big data ecosystems for their firm. The effectiveness of the current Big Data systems is under the control of modern data engineering, which also needs to maintain them updated with newer or upgraded versions. They carry out their tasks using NoSQL, C++, Matlab, Hive, and a number of other big data technologies.
DATA ANALYST Large amounts of data are used by data analysts, who also manage the pre-processing and processing of that data. They are in charge of making the data as efficient as possible in order to produce insightful information that can be used.
DATA ARCHITECT To combine, organize, and secure their organisations' databases, data architects design the essential blueprints. They are in charge of giving the best systems and tools to the organization's data engineers. Data modelling, data warehousing, and related ideas are skills that data architects must possess.
DATA SCIENTIST
A data scientist uses data processing and analysis to assist a business in understanding its issues and providing solutions. To provide insights their company may use to improve operations or meet a specific challenge, they carry out a variety of tasks, including data cleansing, research, data wrangling, and data visualization.
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