Sr. cloud engineer

Title:                Lead Cloud Data Engineer (Azure & Databricks)

City:                Local to Dearborn, Michigan (Hybrid)

Duration:        10+ months on w2

Interview:       Video

Visa:                USC, GC, TN, OPT/EAD, EAD/GC, H4/EAD,

Good Linkedin is must

OIP - Lead Cloud Data Engineer (Azure & Databricks)

 Job Summary:  

As a lead 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:

- 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.

- 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.

Minimum Qualifications and Job Requirements:           

*Must-Have:*

- Bachelor’s degree in science, Technology, Engineering, or Mathematics.

-5+ 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