logistics engineer.

job summary: The Lead Data Engineer will report to the Engineering Supervisor and partners with BI and Software Engineers, Analysts, business stakeholders and Enterprise Analytics leadership. This individual will be building the data pipelines and data structures that create and support our cloud data warehouse. These datasets are universally used by our business analysts, managers, and data scientists. They serve as the foundation for self-service, BI and Advanced Analytics.   location: Beloit, Wisconsin job type: Permanent salary: $130,000 - 145,000 per year work hours: 8am to 4pm education: Bachelors   responsibilities: Responsibilities: Work closely with business and technical teams to deliver enterprise grade datasets that are reliable, flexible, scalable, and provide low cost of ownership.Understands common analytical data models like Kimball. Ensures physical data models align with best practice and requirements.Work with moree junior members on the team with code reviews, implementing best practices, etcBuild and maintain raw data pipelines from varied sources. Build and maintain the data warehouse pipelines.Updates and creates azure pipelines to support our continuous deployment model.Recommend ways to improve data reliability, efficiency, and qualityAnalyzes and estimates feasibility, costs, time, and resources needed to develop, and implement enterprise datasets as needed.Research opportunities for data acquisition and new uses for existing dataRecommend ways to improve data reliability, efficiency, and qualityCollaborate with Enterprise Architecture to publish and contribute to architecture standards and roadmaps.Achieves and maintains relevant technical competencies and helps to foster an environment of continued growth and learning among colleagues on existing and emerging technologies.   qualifications: Experience level: ExperiencedMinimum 10 years of experienceEducation: Bachelors  skills: Data WarehouseData Analysis Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.

job summary: The Data Engineer will report to the Engineering Supervisor and partners with BI and Software Engineers, Analysts, business stakeholders and Enterprise Analytics leadership. This individual will be building the data pipelines and data structures that create and support our cloud data warehouse. These datasets are universally used by our business analysts, managers, and data scientists. They serve as the foundation for self-service, BI and Advanced Analytics.   location: Beloit, Wisconsin job type: Permanent salary: $125,000 - 135,000 per year work hours: 8am to 4pm education: Bachelors   responsibilities: Responsibilities: Work closely with business and technical teams to deliver enterprise grade datasets that are reliable, flexible, scalable, and provide low cost of ownership.Understands common analytical data models like Kimball. Ensures physical data models align with best practice and requirements.Build and maintain raw data pipelines from varied sources. Build and maintain the data warehouse pipelines.Updates and creates azure pipelines to support our continuous deployment model.Recommend ways to improve data reliability, efficiency, and qualityAnalyzes and estimates feasibility, costs, time, and resources needed to develop, and implement enterprise datasets as needed.Research opportunities for data acquisition and new uses for existing dataRecommend ways to improve data reliability, efficiency, and qualityCollaborate with Enterprise Architecture to publish and contribute to architecture standards and roadmaps.Achieves and maintains relevant technical competencies and helps to foster an environment of continued growth and learning among colleagues on existing and emerging technologies.   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors  skills: Data WarehouseData Analysis Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.

job summary: The Data Engineer will report to the Engineering Supervisor and partners with BI and Software Engineers, Analysts, business stakeholders and Enterprise Analytics leadership. This individual will be building the data pipelines and data structures that create and support our cloud data warehouse. These datasets are universally used by our business analysts, managers, and data scientists. They serve as the foundation for self-service, BI and Advanced Analytics.   location: Beloit, Wisconsin job type: Permanent salary: $125,000 - 135,000 per year work hours: 8am to 4pm education: Bachelors   responsibilities: Responsibilities: Work closely with business and technical teams to deliver enterprise grade datasets that are reliable, flexible, scalable, and provide low cost of ownership.Understands common analytical data models like Kimball. Ensures physical data models align with best practice and requirements.Build and maintain raw data pipelines from varied sources. Build and maintain the data warehouse pipelines.Updates and creates azure pipelines to support our continuous deployment model.Recommend ways to improve data reliability, efficiency, and qualityAnalyzes and estimates feasibility, costs, time, and resources needed to develop, and implement enterprise datasets as needed.Research opportunities for data acquisition and new uses for existing dataRecommend ways to improve data reliability, efficiency, and qualityCollaborate with Enterprise Architecture to publish and contribute to architecture standards and roadmaps.Achieves and maintains relevant technical competencies and helps to foster an environment of continued growth and learning among colleagues on existing and emerging technologies.   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors  skills: Data WarehouseData Analysis Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.