Azure Data Engineer for ETL & Analytics Solutions
Budget: $2 – $8 USD
We need an experienced Azure Data Engineer to design and implement robust data solutions on the Azure platform. You'll work on ETL processes, data analytics, and collaborate with cross-functional teams to deliver scalable data engineering solutions.
Requirements:
• Strong experience with Azure Data Factory (ADF) for ETL processes
• Proficiency in Azure Databricks for advanced analytics
• Hands-on experience with Azure Data Lake Storage (ADLS)
• Experience with Azure Synapse Analytics for real-time analytics
• Strong SQL skills for querying and database optimization
• Python programming for scripting and automation
• Experience with data modeling and data warehousing concepts
• Excellent communication skills to work with stakeholders
• Bachelor's degree in Computer Science or related field
Preferred:
• Microsoft Certified: Azure Data Engineer Associate certification
• Experience with Git version control and DevOps practices
• Knowledge of data security and compliance best practices
Deliverables:
• Design and implement end-to-end data solutions
• Develop ETL processes using Azure Data Factory
• Create data processing solutions with Azure Synapse Analytics
• Provide regular project updates and documentation
• Collaborate with data scientists and business users
This is an hourly position requiring strong technical expertise and communication skills. The project involves working with a dynamic team to build scalable data infrastructure on Azure.
Requirements:
• Strong experience with Azure Data Factory (ADF) for ETL processes
• Proficiency in Azure Databricks for advanced analytics
• Hands-on experience with Azure Data Lake Storage (ADLS)
• Experience with Azure Synapse Analytics for real-time analytics
• Strong SQL skills for querying and database optimization
• Python programming for scripting and automation
• Experience with data modeling and data warehousing concepts
• Excellent communication skills to work with stakeholders
• Bachelor's degree in Computer Science or related field
Preferred:
• Microsoft Certified: Azure Data Engineer Associate certification
• Experience with Git version control and DevOps practices
• Knowledge of data security and compliance best practices
Deliverables:
• Design and implement end-to-end data solutions
• Develop ETL processes using Azure Data Factory
• Create data processing solutions with Azure Synapse Analytics
• Provide regular project updates and documentation
• Collaborate with data scientists and business users
This is an hourly position requiring strong technical expertise and communication skills. The project involves working with a dynamic team to build scalable data infrastructure on Azure.