Cloud Data Engineer - Dearborn, MI at Digital Technology Solutions

DTS is looking for experienced Cloud Data Engineer for a Direct Client position based in Dearborn, MI

Top Technical Skills

• Azure Databricks  - will be asked to get the cert once they start
• Most people started in big data and moved to the cloud
• Ideal – big data with exposure to cloud preferable Azure
• Spark – if have this they will learn data bricks - Strong knowledge of programming languages such as Python, SQL, or Scala
• Spark data engineer type role
• Really looking for big data – Hadoop, hive, spark along with java, python or scala and then some cloud (preferably azure)

Job Summary: 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.

*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.

*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

Other Responsibilities:           

• Conduct system troubleshooting and provide technical support as needed.
• Stay updated with the latest developments in cloud technologies and introduces innovations and improvements to internal systems.