Data Engineers typically work for corporations in various industries to help them manage and store important data regarding company operations. They work closely with other data professionals and members of the information technology department to design and implement these systems across departments. Their job is to use their knowledge of different programming languages to code and update data systems. They may also be responsible for implementing cybersecurity
O que faz um Data Engineer?
A Data Engineer, or Data Systems Engineer, is responsible for developing and maintaining data processing software like databases. Their duties include coordinating with company Executives and other professionals to create unique data infrastructure, running tests on their designs to isolate errors and updating systems to accommodate changes in company needs.
Responsabilidades
Um Data Engineer deve ser capaz de cumprir vários deveres e responsabilidades. A seguir apresentam-se alguns deveres e responsabilidades que um Data Engineer deve ser capaz de desempenhar:
Assembling large, complex sets of data that meet non-functional and functional business requirements
Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
Habilidades necessárias
Um Data Engineer competitivo terá determinadas competências e qualificações, incluindo:
Ability to build and optimize data sets, ‘big data’ data pipelines and architectures
Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
Excellent analytic skills associated with working on unstructured datasets
Ability to build processes that support data transformation, workload management, data structures, dependency and metadata
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