Experis
Cloud Data Engineer (Azure & Databricks)
Experis, Dearborn, Michigan, United States, 48120
Our client in the technology industry is seeking Cloud Data Engineer to join their team.
Candidates must be certified in and have strong experience in Azure Data Factory and Databricks.
As a Cloud Data Engineer, you will be part of the Data Engineering team supporting various business units. The ideal candidate will have excellent problem-solving skills, strong attention to detail, and the ability to work collaboratively in a fast-paced environment.
Job Title:
Cloud Data Engineer
Location:
Dearborn, MI (hybrid)
onsite interview required
What's the Job?
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.What's Needed?
6+ 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 is required.Strong knowledge of programming languages such as Python, SQL, or Scala.Bachelor's degree in science, Technology, Engineering, or Mathematics.What's in it for me?
Opportunity to work with cutting-edge cloud technologies and data engineering solutions.Competitive pay and benefits package.Opportunity for career growth and development.Collaborative and inclusive work environment.Chance to work with a dynamic and innovative team.
If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
About ManpowerGroup, Parent Company of:Manpower, Experis, Talent Solutions, and Jefferson Wells
ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands -
Manpower, Experis, Talent Solutions, and Jefferson Wells
-creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.
Candidates must be certified in and have strong experience in Azure Data Factory and Databricks.
As a Cloud Data Engineer, you will be part of the Data Engineering team supporting various business units. The ideal candidate will have excellent problem-solving skills, strong attention to detail, and the ability to work collaboratively in a fast-paced environment.
Job Title:
Cloud Data Engineer
Location:
Dearborn, MI (hybrid)
onsite interview required
What's the Job?
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.What's Needed?
6+ 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 is required.Strong knowledge of programming languages such as Python, SQL, or Scala.Bachelor's degree in science, Technology, Engineering, or Mathematics.What's in it for me?
Opportunity to work with cutting-edge cloud technologies and data engineering solutions.Competitive pay and benefits package.Opportunity for career growth and development.Collaborative and inclusive work environment.Chance to work with a dynamic and innovative team.
If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
About ManpowerGroup, Parent Company of:Manpower, Experis, Talent Solutions, and Jefferson Wells
ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands -
Manpower, Experis, Talent Solutions, and Jefferson Wells
-creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.