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    Lead Cloud Data Engineer - Detroit, United States - Apptad Inc

    Apptad Inc
    Apptad Inc Detroit, United States

    2 weeks ago

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    Description

    Job Description

    Job DescriptionJob Title: Lead Cloud Data Engineer
    Job Location: Detroit, MI (Hybrid)
    Job Duration: Long-TermJob Description:
    • 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.
    • 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.

    Must Haves:
    • 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
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