Cloud Data Engineer (Azure & Databricks)

Posted 14 Days Ago
Be an Early Applicant
Hiring Remotely in Dearborn, MI
Remote
7+ Years Experience
Information Technology • Software • Analytics
The Role
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.
Summary Generated by Built In

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: 
- 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.

Top Skills

Azure
Python
Scala
SQL
The Company
HQ: Reston, Virginia
28 Employees
On-site Workplace
Year Founded: 2003

What We Do

DATAMAXIS takes pride in delivering a wide range of business IT modernization, data analytics, and technology management services. With command of the cutting-edge developments in these fields, our team and consultants are ready to provide you a robust technology modernization experience that results in a big boost in performance capability and operational efficiency.

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