Azure Data Engineer

Role & responsibilities

• Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
• Build and optimize data storage solutions using Azure Data Lake, Azure SQL Database, and Azure Cosmos DB.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
• Implement data quality checks, data governance, and security best practices across data platforms.
• Monitor, troubleshoot, and optimize data workflows for performance and scalability.
• Develop and maintain data models, data cataloging, and metadata management.
• Automate data integration and transformation processes using Azure DevOps and CI/CD pipelines.
• Stay up-to-date with emerging Azure technologies and data engineering trends.

Preferred candidate profile

• Bachelors degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in data engineering with a focus on Azure cloud services.
• Proficiency in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure SQL Database.
• Strong experience with SQL, Python, or other scripting languages.
• Familiarity with data modeling, ETL design, and big data tools such as Hadoop or Spark.
• Experience with data warehousing concepts, data lakes, and data pipelines.
• Understanding of data governance, data quality, and security best practices.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Azure certification (e.g., Microsoft Certified: Azure Data Engineer Associate) is a plus
• Experience with Azure Logic Apps, Azure Functions, and API Management