Azure Data Engineer

Location : Remote

Experience : 5 +Years

Notice Period : 15 Days / Immediate Only

• Design, develop, and maintain data storage solutions using Azure SQL Database , Azure Data Lake , and Azure Blob Storage .
• Build and manage data pipelines for ingestion, processing, and transformation within Azure.
• Create data models to support analytics and reporting requirements.
• Develop and maintain ETL workflows using Azure Data Factory or similar tools.
• Assemble and process large, complex data sets leveraging Azure Data Factory and Azure Databricks .
• Implement data validation, cleansing, and quality assurance processes to ensure accuracy and reliability.
• Ensure data security, governance, and compliance across all data solutions.
• Collaborate with data engineers, architects, and business stakeholders to translate requirements into scalable, reliable Azure data architectures.

• Strong foundation in Azure Data Engineering concepts and architecture.
• Hands-on experience with Azure Data Factory , Azure Databricks , Azure Data Lake , and Azure SQL .
• Proficient in Python , PySpark , and SQL for data processing and transformation.
• Familiarity with Apache Spark and Big Data technologies.
• Experience with Azure DevOps for CI/CD and pipeline management.
• Strong problem-solving, analytical, and collaboration skills.
• Good communication and stakeholder interaction abilities.

• Prior experience in designing scalable data ingestion frameworks on Azure.
• Exposure to data governance , monitoring , and performance tuning in cloud environments.