Roles and Responsibility
Design, develop, and deploy scalable data pipelines using Azure Data Factory.
Collaborate with cross-functional teams to identify and prioritize project requirements.
Develop and maintain large-scale data warehouses and data lakes on Azure Storage solutions.
Implement data quality checks and validation processes to ensure data integrity.
Optimize data processing workflows for performance and efficiency.
Troubleshoot and resolve technical issues related to data engineering projects.

Job Requirements
Solid understanding of data modeling concepts and data warehousing principles.
Experience with Azure services such as Azure Data Factory, Azure Storage, and Azure SQL.
Knowledge of data integration tools and techniques, including ETL and ELT processes.
Familiarity with agile development methodologies and version control systems like Git.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a team workplace and communicate effectively with stakeholders.

📌 Azure Data Engineer Mumbai
🏢 Wenger and Watson
📍 Mumbai