Azure Data Engineer @ Wolverine Worldwide | Jobright.ai
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Wolverine Worldwide · 11 hours ago

Azure Data Engineer

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Responsibilities

Operates as a technology contributor in Azure Data Engineering by implementing modern data solutions with Azure Synapse Workflows, Data Pipelines, Notebooks, and SQL data warehousing solutions
Functions as a contributor on large projects and/or task leader on small projects; coordinates own, milestone schedules and related communication; responsible for delivery of an assigned scope of work
Confers with business and IT team members, including cross functional team members, to determine requirements while using best practices to support business needs
Estimates configuration and development efforts for self - assists team members with problem solving related to performance and usage; collaborates across teams as needed
Participates in and supports change management standards and procedures
Authors system documentation for own scope of work
Assists in researching alternative solutions under manager direction; maintains awareness of current technologies and trends
Develops technical and business proficiency through education, work assignments, research and technical/user group participation; demonstrates practical application of learning and actively shares knowledge across functional area
Performs duties consistent with the company’s AAP/EEO goals and policies

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Azure Data EngineeringData Warehouse ArchitectureData ModelingETL ToolsMicrosoft AzureAzure Synapse StudioData PipelinesPython NotebooksSQL Server DevelopmentDevOpsAzure MonitorApplication InsightsCost ManagementMicrosoft FabricOneLakePython ProgrammingData FramesMS Power BIRelationship Management

Required

Bachelor’s degree in Computer Science or a related field or equivalent work experience
3-5 years of data engineering full time work experience in the implementation of modern data warehouse architecture as well as data delivery, data modeling, ETL tools, master data management and deployment of highly automated and documented solutions
2+ years of full time work experience with Microsoft Azure data engineering products: Azure Synapse Studio, Pipelines/Workflows, Python Notebooks, Analytic Pools (serverless), SQL Server Development, and DevOps
1-2+ years of experience with Python programming and data frames
Working knowledge of Azure Monitor, Application Insights, Cost Management or equivalent tooling

Preferred

Experience with MS Power BI a plus

Company

Wolverine Worldwide

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Founded in 1883 on the belief in the possibility of opportunity, Wolverine World Wide, Inc.

H1B Sponsorship

Wolverine Worldwide has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (5)
2021 (2)
2020 (3)

Funding

Current Stage
Public Company
Total Funding
unknown
1978-01-13IPO

Leadership Team

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Christopher Hufnagel
President & Chief Executive Officer
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Taryn Miller
Chief Financial Officer
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Company data provided by crunchbase
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