What are the responsibilities and job description for the Azure Data Engineer position at Motion Recruitment?
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
Top Skills
Required Skills & Experience
Contract Duration: 6 - 7 Months
Top Skills
Required Skills & Experience
- 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
- 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.
