We are looking for an experienced Data Engineer to join our team on a contract basis in Cleveland, Ohio. This role involves creating scalable data solutions, optimizing database environments, and supporting business intelligence reporting for manufacturing metrics. The ideal candidate will have expertise in modern data engineering practices and a strong ability to collaborate with stakeholders.<br><br>Responsibilities:<br>• Redesign and optimize existing data models to improve efficiency and scalability.<br>• Structure and organize incoming data to ensure seamless integration into reporting systems.<br>• Build advanced time intelligence features within Power BI to enhance reporting capabilities.<br>• Craft operational reports that provide actionable insights on manufacturing metrics.<br>• Develop and implement reporting solutions that deliver measurable business value.<br>• Utilize modern data transformation tools, such as dbt, to streamline workflows.<br>• Support analytical reporting and contract review processes by ensuring accurate data representation.<br>• Assist in establishing a robust database environment that integrates well with Power BI.<br>• Collaborate with stakeholders to understand data requirements and translate them into actionable solutions.<br>• Explore and implement forward-thinking data engineering practices to enhance system performance.

• Proficiency in Azure Data Factory and Microsoft SQL Server.<br>• Hands-on experience with ETL processes and Azure SQL Database.<br>• Familiarity with Amazon Web Services (AWS) and SSIS.<br>• Strong Python programming skills are highly desirable.<br>• Proven track record in data migration projects, especially to Azure platforms.<br>• Ability to create scalable database environments that support business intelligence needs.<br>• Excellent problem-solving skills and a curious mindset for experimenting with modern tools.<br>• Strong communication skills to engage effectively with stakeholders and understand business requirements.

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