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Job Description: Lead Data Engineer
Adapture · United States (Remote)

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Meet the hiring team

Garrett Preziosi  
 3rd
Technical Recruiter @ ADAPTURE
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About the job
The Lead Data Engineer develops and supports business analytic reporting utilizing the latest BI tools in a cloud-based environment.
 
 This position works with Data Engineers, Analysts, and Business customers to develop and deliver reports that are critical for business operational and forecasting needs.
 
 How you will impact the company:
 • Collaborate with Data Engineers and Business customers to automate and build analytic reporting that will reduce manual effort and assist in making business decisions.
 • Apply best practices to deliver high-quality intuitive reporting of manufacturing data to advance the state of the art in efficiency optimization and predictive analytics.
 • Develop reports utilizing connections to manufacturing system databases and data lake to curate Enterprise-wide financial and operational views for Business customers.
 • Provide them with leadership with highly valuable and transparent reporting that will drive decisions for the entire enterprise.
 
 What you need to succeed:
 • Education: Bachelor’s degree in computer science or similar
 • At least 7-10 years of strong Data Analytics and Engineering experience
 • At least 3-5 years of Power BI development and support
 • Experience with Microsoft Fabric and Azure
 • Experience with Microsoft One Lake, Lakehouse, Data Factory
 • Experience with Power Query and DAX
 • Experience with scripting/coding (Python and/or SQL preferred)
 • Experience developing analytic reporting and data visualizations
 • Good analytical and troubleshooting abilities
 • Good communication abilities to interact with clients, internal and external customers
 
 Preferred Qualifications:
 • Power BI Admin experience
 • Power Platforms admin experience
 • Experience with ETL concepts and technologies
 • Experience with Cloud-based Big Data platforms and services.
 • Experience with databases (MS SQL Server, MySQL, Oracle, etc.) and data stores
 • Experience assembling large, complex sets of data that meet non-functional and functional business requirements