Cloud Data Engineer (Azure & Databricks) - DATAMAXIS

Rate: Depending on experience



Work location: Dearborn, MI (hybrid)




*Inperson Interview required*




*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.