Job Title: Data Engineer – Azure

Key Responsibilities:

• Design, develop, and maintain scalable and efficient data pipelines on Azure (Azure Data Factory, Azure Databricks, Azure Synapse, etc.).
• Build and optimize ETL/ELT processes for structured and unstructured data.
• Develop and maintain data models, data warehouses, and analytics solutions using Azure technologies.
• Collaborate with Data Scientists, Analysts, and Business stakeholders to understand data requirements and deliver actionable insights.
• Ensure data quality, integrity, and governance across multiple data sources.
• Monitor and troubleshoot data workflows, pipelines, and storage systems.
• Implement best practices for security, compliance, and performance in cloud-based data environments.
• Stay current with emerging Azure technologies and recommend improvements to existing data architecture.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer, preferably in cloud environments.
• Strong expertise in Microsoft Azure services:
• Azure Data Factory
• Azure Databricks / Spark
• Azure Synapse Analytics / SQL Data Warehouse
• Azure Storage (Blob, Data Lake)
• Azure SQL Database / Cosmos DB
• Proficient in SQL and programming languages like Python, Scala, or C#.
• Experience with data modeling, data warehousing, and ETL/ELT processes.
• Knowledge of data governance, security, and best practices in cloud environments.
• Strong problem-solving skills and ability to work in a collaborative, fast-paced environment.

Preferred Qualifications:

• Azure certifications (e.g., Microsoft Certified: Azure Data Engineer Associate)
• Experience with real-time data processing, streaming, or IoT data.
• Familiarity with DevOps practices and CI/CD pipelines in Azure.