Description

• Design, develop, and maintain scalable and efficient data pipelines using Azure services.
• Implement data integration solutions using Azure Data Factory, Azure Databricks, and other Azure tools.
• Build and manage data lakes and data warehouses using Azure Data Lake Storage, Azure SQL Data Warehouse, and Synapse Analytics.
• Ensure data quality through validation, cleansing, and transformation processes.
• Optimize data storage and retrieval for performance and cost efficiency.
• Develop data processing scripts using Python or Scala.
• Integrate with reporting tools for data visualization and insights.
  
   

Technical Leadership

 

• Lead the design, development, and deployment of Azure-based solutions.
• Provide technical guidance and mentorship to development teams.
• Conduct code reviews and enforce coding standards and best practices.
• Troubleshoot and resolve complex technical issues and roadblocks.
• Collaborate with stakeholders to align technical solutions with business goals.
• Understand and potentially work with SAS code for legacy or integrated systems.
  
   

Required Skills & Qualifications

 

• Proven experience as a Data Engineer and Technical Lead with a focus on Azure technologies.
• Expertise in Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL Data Warehouse, and Synapse Analytics.
• Strong SQL and data modeling skills.
• Proficiency in Python or Scala for data processing.
• Hands-on experience with reporting tools (e.g., Power BI, Tableau).
• Strong understanding of Azure architecture and services.
• Excellent problem-solving, communication, and leadership skills.
• Experience with SAS or understanding of SAS code is a plus.
• Azure certifications (e.g., Azure Developer, Azure Architect) are preferred

Key Skills

Education

Bachelor's degree