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.
Un Data Engineer debe ser capaz de cumplir con varias funciones y responsabilidades. Las siguientes son algunas funciones y responsabilidades que un Data Engineer debe ser capaz de ejecutar:
- 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
Un Data Engineer competitivo tendrá ciertas habilidades y calificaciones, incluyendo:
- 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
