About Company
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
Client Description
Our client is a major Fortune 500 company and one of the world’s most innovative and cutting-edge technology companies, and this role is in the Interactive department.
Droisys is seeking Azure Data Engineer job offering onsite work for a long-term job opportunity in Dearborn, MI area of the USA.
Job Description
Job Title Azure Data Engineer
Job Location Dearborn, MI [Onsite Work]
Duration 6 Months [Contract with Potential Extensions]
Experience 10 Years and above
Key Skills Azure Data, Azure Cloud Services, Azure Data Factory, Azure Databricks
Pay Rate $65/hr
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.
- Bachelor's degree in science, Technology, Engineering, or Mathematics.
- 8+ 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
- 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.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.