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.
A Data Engineer should be able to fulfill various duties and responsibilities. The following are some duties and responsibilities a Data Engineer should be able to execute:
- 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
A competitive Data Engineer will have certain skills and qualifications, including:
- 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
