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

- Strong 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 technologies such as ETL and ELT.
- 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 setting and communicate effectively with stakeholders.

📌 Azure Data Engineer (Karnataka)
🏢 Wenger and Watson
📍 Karnataka