Cloud Data Engineer (Azure & Databricks)

Job Title -   Cloud Data Engineer (Azure & Databricks)

Base Location – Dearborn, Michigan(Hybrid)

Duration – 15+months

Interview Process: Video and Inperson

**Candidates must be local to Michigan

Job Description :

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. 

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.

Other Responsibilities:

• 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.

Minimum Qualifications and Job Requirements:

• 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