Hiring Kit: Database Engineer
With very few exceptions, successful businesses rely on data (customer data, client data, system data, industry data, weather data, etc.) to make their best management decisions. Collecting, storing, and processing this data often requires the building of sophisticated, reliable, and resilient databases. Designing, developing, and implementing these databases is the job role of the database engineer.
This customizable hiring kit, written by Mark W. Kaelin for TechRepublic Premium, provides a framework you can use to find the best candidate for your organization. The kit includes salary details, a job description, interview questions, and a job advert.
Featured text from the download:
DETERMINING FACTORS, DESIRABLE PERSONALITY TRAITS, AND SKILLSETS
Successful database engineers will have impeccable development, programming, and coding skills. Database engineers use tools to design and create new databases and restructure or maintain existing databases so they run efficiently and reliably. Expertise in database engine processes and programming languages allows database engineers to develop procedures for integrating new data into old systems.
Beyond the technical expertise to design, build, and implement data architecture, database engineers must also have a profound understanding of business procedures at both the organizational and industrial level. When designing a data structure and implementing a database architecture, the engineer must account for current business needs while anticipating future business needs. In a world of IoT and cloud computing, new data is likely, and it must be incorporated into an organization’s data and information flow seamlessly.
Reaching this level of overall business operational understanding requires advanced communication skills. Database engineers must be able to effectively communicate with everyone in an organization. This means talking to executives, managers, knowledge workers, frontline workers, and administrative personnel, who all provide vital information about how data will be generated, stored, and processed.
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TIME SAVED: Crafting this content required 20 hours of dedicated writing, editing, research, and design.
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