Data Engineer

Key Skills: Azure Data Factory, Talend, Databricks, Azure SQL Database, Azure Synapse Analytics, Data Lake, Data Warehousing, DBMS, PowerBI.

Roles and Responsibilities:

• Design and develop scalable data pipelines using Azure Data Factory, Talend, and Databricks for seamless data integration and management.
• Implement end-to-end data solutions utilizing Microsoft Azure services, including Azure SQL Database, Data Lake, and Azure Synapse Analytics.
• Collaborate with cross-functional teams to understand data requirements and deliver efficient data models and solutions.
• Ensure optimal performance and reliability of data systems and troubleshoot issues as needed.
• Develop and maintain data warehousing solutions to support business intelligence and analytics initiatives.
• Create dashboards and reports using PowerBI to support data-driven decision-making processes.

Experience Requirement:

• 2 to 5 years of hands-on experience in data engineering with a strong background in Azure-based data solutions.
• Proven expertise in using Azure Data Factory, Talend, and Databricks for data transformation and integration.
• Experience working with cloud-native services such as Azure SQL Database, Data Lake, and Synapse Analytics.
• Solid understanding of data warehousing principles and DBMS technologies.
• Demonstrated experience in creating insightful visualizations using PowerBI.
• Immediate joiner preferred.

Education: B.Tech M.Tech (Dual), B.E., B.Tech