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    Cloud Data Engineer - Detroit, United States - Custom Business Solutions, Inc.

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    Description

    NO SUBCONTRACTS, C2C or 1099 applicants. W2 candidates only.

    Custom Business Solutions, a Michigan-based talent agency, is seeking an experienced Lead Cloud Data Engineer for a Hybrid workplace opportunity in Metro Detroit, Michigan. Qualified candidates submitting an application will be considered for this Contract opportunity.

    As a lead cloud engineer for Azure, you will be responsible for designing and implementing scalable, high-performance data engineering solutions using Azure Databricks and Azure Data Factory.

    Responsibilities

    • 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

    Qualifications

    • 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.

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