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Data Analytics & Engineering - Data Engineer III
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Data Analytics & Engineering - Data Engineer III
- United States
- United States
À propos
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan, that offers strategic talent solutions to our clients worldwide. Our client is a global professional services firm specializing in digital transformation, business process management (BPM), analytics, and AI-driven solutions. The company partners with organizations to improve efficiency, transform operations, and drive business outcomes through a combination of process expertise, technology, and data insight.
Position: Data Analytics & Engineering - Data Engineer III
Duration: 6 months
Location: Remote
Job Type: Temporary Assignment
Work Type: Remote
Job Description: Summary:
The main function of the data engineer is to develop, evaluate, test, and maintain architectures and data solutions within our organization. The typical data engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization's data assets.
Job Responsibilities: Design, construct, install, test, and maintain highly scalable data management systems. Ensure systems meet business requirements and industry practices. Design, implement, automate, and maintain large-scale enterprise data ETL processes. Build high-performance algorithms, prototypes, predictive models, and proofs of concepts. Skills:
Ability to work as part of a team, as well as work independently or with minimal direction. Excellent written, presentation, and verbal communication skills. Collaborate with data architects, modelers, and IT team members on project goals. Strong PC skills including knowledge of Microsoft SharePoint. Education/Experience:
Bachelor's degree in a technical field such as computer science, computer engineering, or a related field required. Process certification, such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, and CMMI.
TekWissen® Group is an equal opportunity employer supporting workforce diversity.
Compétences linguistiques
- English
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