Skills:

• 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.
• For emerging skill sets, years of experience may matter less than depth of knowledge & expertise but traditionally may have 5-10 years of experience
• Act with integrity, professionalism, and personal responsibility to uphold the firm’s respectful and courteous work environment.

Benefits: It is recommended that employers include a general description of any health or compulsory benefits for compliance with Pay Transparency laws.

Education: A university degree is preferred

Certifications & Licenses:

• Certified Database Administrator
• Microsoft Certified
• Microsoft Certified Database Administrator.