Senior Data Engineer
Temporary
Scadea
Job Title: Senior Data Engineer
Location: Chicago, IL or Minneapolis, Minn. 3-4 days per week onsite
Length: 6-10 months
Must haves:
• Cloud Solution Exposure:
• Strong exposure to cloud-based solution design and implementation, particularly within the Azure ecosystem, Databricks and ADF
• Large-Scale Data Architecture & Design:
• Experience in designing and handling high-volume data systems, including scalable data architectures for enterprise use cases. Understanding of Kafka platform
• Data Migration Programs:
• Proven track record in executing data migration initiatives involving large datasets, ensuring data accuracy, consistency, and minimal disruption.
• Data Platforms & Technologies:
• Hands-on experience with modern data platforms including Data Lakes and NoSQL databases such as MongoDB.
• Azure Ecosystem Expertise:
• Familiarity with Azure data and analytics services, supporting end-to-end data processing, storage, and integration workflows.
• AI Enablement:
• Exposure to AI-enabled solutions, incorporating intelligent capabilities into data platforms and modernization initiatives.
Location: Chicago, IL or Minneapolis, Minn. 3-4 days per week onsite
Length: 6-10 months
Must haves:
• Cloud Solution Exposure:
• Strong exposure to cloud-based solution design and implementation, particularly within the Azure ecosystem, Databricks and ADF
• Large-Scale Data Architecture & Design:
• Experience in designing and handling high-volume data systems, including scalable data architectures for enterprise use cases. Understanding of Kafka platform
• Data Migration Programs:
• Proven track record in executing data migration initiatives involving large datasets, ensuring data accuracy, consistency, and minimal disruption.
• Data Platforms & Technologies:
• Hands-on experience with modern data platforms including Data Lakes and NoSQL databases such as MongoDB.
• Azure Ecosystem Expertise:
• Familiarity with Azure data and analytics services, supporting end-to-end data processing, storage, and integration workflows.
• AI Enablement:
• Exposure to AI-enabled solutions, incorporating intelligent capabilities into data platforms and modernization initiatives.
Vacancy posted 4 days ago
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