Azure Data Engineer

We are looking for an experienced Azure Data Engineer with 8–10 years of relevant experience in designing, developing, and supporting scalable data engineering solutions on Microsoft Azure. The ideal candidate should have strong hands-on experience with Azure Synapse Analytics, Azure Data Factory, Azure SQL, PySpark, Python, and advanced T‑SQL.

Must-Have Skills

• Strong hands-on experience with Azure Synapse Analytics
• Strong experience with Azure Data Factory (ADF)
• Hands-on experience with Azure SQL
• Strong programming experience in PySpark and Python
• Advanced T‑SQL / SQL skills
• Strong understanding of ETL/ELT development and data pipelines
• Experience with data modelling, including Star and Snowflake schemas
• Good understanding of Big Data processing and distributed computing
• Experience designing and implementing scalable Azure data solutions
• 8–10 years of relevant Data Engineering experience

Key Responsibilities

• Design, develop, and maintain scalable data engineering solutions using Azure Synapse Analytics, Azure Data Factory, and Azure SQL.
• Develop and optimize complex ETL/ELT data pipelines using Azure services.
• Build data transformation and processing solutions using PySpark/Python.
• Write and optimize complex T‑SQL/SQL queries, stored procedures, and data transformations.
• Develop and maintain data models using Star and Snowflake schemas.
• Work with large datasets and implement efficient distributed data processing solutions.
• Perform data integration from multiple structured and unstructured data sources.
• Optimize data pipelines and queries for performance, scalability, and reliability