Remote Azure Data Engineer - Databricks & PySpark Expert

ManpowerGroup Global, Inc.; Baltimore (MD); On-site; USD 98,000 - 103,000; Full time

Job summary

ManpowerGroup Global, Inc. seeks a Sr. Azure Data Engineer to design, build, and support scalable cloud data platforms using Azure services and Databricks. Responsibilities include ETL/ELT development, data warehousing and lakes design, and secure, maintainable solutions.

You will collaborate with cross-functional teams to translate business requirements into technical solutions and support cloud migration initiatives, leveraging PySpark and SQL expertise in a remote, ET-friendly environment.

Qualifications

• 5+ years of experience with Microsoft Azure cloud services.
• 3+ years of hands-on experience with Azure Databricks.
• 5+ years of experience developing solutions using PySpark.
• 8+ years of experience in data warehousing and data engineering.
• Advanced SQL development and database design experience.

Responsibilities

• Design, develop, and support scalable cloud-based data platforms and pipelines using Azure services and Databricks.
• Build and maintain efficient ETL/ELT processes for structured and unstructured data sources.
• Design and optimize enterprise data warehouses, data lakes, and modern analytics platforms.
• Create high-quality, secure, and maintainable data solutions following engineering best practices.
• Collaborate with stakeholders to translate business requirements into technical solutions and support cloud migration initiatives.

Skills

Azure

Azure Databricks

PySpark

Data warehousing

SQL

Job description

ManpowerGroup Global, Inc. seeks a Sr. Azure Data Engineer to design, build, and support scalable cloud data platforms using Azure services and Databricks. Responsibilities include ETL/ELT development, data warehousing and lakes design, and secure, maintainable solutions.

You will collaborate with cross-functional teams to translate business requirements into technical solutions and support cloud migration initiatives, leveraging PySpark and SQL expertise in a remote, ET-friendly environment.