What are the responsibilities and job description for the Azure Data Engineer position at Motion Recruitment Partners, LLC?
Job Details
Our client is seeking an Azure Data Engineer for a hybrid, contract role (will be expected to report to the Montvale, Orlando, Denver or Atlanta office 2x per week).
Contract Duration: 6 - 7 Months
Required Skills & Experience
TOP SKILLS:
REQUIRED:
Contract Duration: 6 - 7 Months
Required Skills & Experience
TOP SKILLS:
- Python (more than 3 years' experience with libraries to extract data from PDF, MS office files).
- Azure Synapse to create data Python pipeline jobs and clusters
REQUIRED:
- Good knowledge of API integration Expertise in Azure services, including Azure Data Factory, Azure SQL Database, and Azure Storage.
- Proven experience as a Data Engineer, with a strong focus on Azure Synapse Analytics.
- Proficiency in Python for data manipulation, scripting, and automation.
- Hands-on experience with Azure AI Document Intelligence for document processing and data extraction.
- Create, manage, and optimize ETL processes to ensure efficient data flow and high data quality.
- Strong understanding of data warehousing concepts, ETL processes, and data modeling techniques.
- Monitor and troubleshoot data systems, ensuring optimal performance and reliability.
- Implement best practices for data security, metadata management, and compliance with organizational policies.
- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Effective communication and interpersonal skills.
- For emerging skill sets, years of experience may matter less than depth of knowledge & expertise but traditionally may have 5-10 years of experience
- Proven experience as a Data Engineer, with a strong focus on Azure Synapse Analytics.
- Proficiency in Python for data manipulation, scripting, and automation.
- Expertise in Azure services, including Azure Data Factory, Azure SQL Database, and Azure Storage.
- Hands-on experience with Azure AI Document Intelligence for document processing and data extraction.
- Create, manage, and optimize ETL processes to ensure efficient data flow and high data quality.
- Strong understanding of data warehousing concepts, ETL processes, and data modeling techniques.
- Monitor and troubleshoot data systems, ensuring optimal performance and reliability.
- Implement best practices for data security, metadata management, and compliance with organizational policies.
- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Effective communication and interpersonal skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
