Big data engineers are liaisons between business users and data scientists. They are designers and curators of databases and know how to get results from vast amounts of data quickly. They have impeccable data mining, strategic and communication skills, as they interpret business objectives and translate them into data-processing workflows. They develop, maintain, test, and evaluate software platforms and large-scale data processing systems within organizations, ensuring that data pipelines are scalable, efficient and secure. A big data engineer must have considerable expertise in statistics software engineering, building high-performance algorithms and programming, ideally in Python or Java and NoSQL technologies. The role requires coding expertise and enterprise architecture and data science knowledge. Employers often require a bachelor’s degree in a related field and four to six years of experience.
Typical big data engineer duties:
Gathering, storing and processing raw data and translating analyses for acquisition and integrationApplying technologies to solve big data problems and develop innovative big data solutionsPerforming end-user analysis to formulate a clear understanding of the business needs and incorporate these needs into technical solutions
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