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We are looking for an experienced Data Engineer to join our team in Cleveland, Ohio. In this role, you will design, implement, and optimize data solutions that support business intelligence and analytics needs. If you have a passion for working with cutting-edge technologies and thrive in a fast-paced environment, this opportunity is for you.
Job Responsibility:
Develop and refine data models to ensure optimal performance and scalability
Design and implement data warehouse solutions for managing structured and unstructured data
Create and maintain data integration processes to support analytics and data-driven applications
Establish robust data quality and validation protocols to guarantee accuracy and consistency
Collaborate with business intelligence teams and stakeholders to gather requirements and deliver tailored solutions
Monitor and address issues within data pipelines, including performance bottlenecks and system errors
Research and adopt emerging technologies and best practices to enhance data engineering capabilities
Requirements:
Minimum of 5 years of experience in data engineering or a related field
Proficiency in Python and ETL processes
Strong expertise in SQL Server and Azure technologies
Hands-on experience with Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics
Familiarity with MS Fabric and Azure Stack
Knowledge of Azure Storage and Power BI for analytics and visualization
Ability to design scalable and efficient data solutions
Excellent problem-solving skills and attention to detail