Cloud Data Engineer Azure Databricks
DATAMAXIS - dearborn, MI
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Rate: Depending on experience Work location: Dearborn, MI (hybrid) ** ** * Must-Have: - Bachelor's degree in science, Technology, Engineering, or Mathematics. - 7+ years of experience as a data engineer, with strong proficiency in Azure cloud services, Databricks, and Azure Data Factory - 3+ years of experience with designing and implementing data solutions using Azure Cloud. - Azure Data Engineering or Databricks Certification. - Strong knowledge of programming languages such as Python, SQL, or Scala. - Experience with data modeling, ETL/ELT development, data integration and orchestration techniques - Experience with designing and developing end-to-end data and analytics solutions leveraging Azure Data Lake, Azure Databricks, and Data Factory * Nice to Have: - Experience with designing scalable data analytics architecture to implement advanced analytics solutions, including machine learning and AI, to extract actionable insights from data. - Additional Azure Certifications like Azure ML, Analytics Specialty, or Azure Solutions Architect * Responsibilities: - Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory. - Develop and maintain scalable and efficient data pipelines and architectures. - Ensure optimal architecture and performance of applications deployed on Azure. - Provide expertise in cloud security, ensuring compliance with industry standards and company policies. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Manage the full lifecycle of data and analytics solutions, from requirements gathering to deployment and maintenance. Other responsibilities: - Mentor and lead a team of cloud engineers, promoting best practices in cloud computing and continuous learning. - Conduct system troubleshooting and provide technical support as needed. - Stay updated with the latest developments in cloud technologies and introduce innovations and improvements to internal systems.
Created: 2024-09-20