Why This Role Stands Out
You'll have the opportunity to shape scalable data architectures and drive impactful data solutions at a reputable tech company, with the flexibility of a hybrid work model. This role is perfect for a mid-senior professional eager to hone their skills in data management and model orchestration within a collaborative team environment. Apply now to advance your career in data engineering!
Quick Overview
Job Description
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. This role requires working on model evaluations and orchestration so prior experience here would be a plus.
Job Responsibilities:
Manage data engineering projects through the full cycle.
Identify and underline business initiatives from a data engineering perspective
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 proof 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 related field required.
Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.
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