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 and data warehousing concepts.
Experience with Azure Data Lake, Azure Synapse Analytics, and Azure CosmosDB.
Proficiency in programming languages such as Python, Java, or C#.
Knowledge of cloud-based technologies like AWS or GCP is an added advantage.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a team setting and communicate effectively with stakeholders.

📌 Azure Data Engineer Kolkata (India)
🏢 Wenger and Watson
📍 India