Lead Cloud Data Engineer - Azure & Databricks Job at Artmac Soft LLC, Dearborn, MI

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  • Artmac Soft LLC
  • Dearborn, MI

Job Description

Who we are:

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to the Customers.

Job Description:

Job Title : Lead Cloud Data Engineer Azure & Databricks

Job Type : W2

Experience : 8 to 10 years

Location : Dearborn, Michigan

Required Experience & Skills:

  • 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.
  • 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 Original NSR: NSR 6968 Other

Essential Job Functions:

Responsibilities:

  • 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.
  • As a 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.

  • 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.

Qualification:

  • Bachelor's degree in Computer Science, Engineering, or a related field.

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