Senior Data Engineer

Key skills: Azure Data Factory, Data Warehousing Concepts, Azure Synapse

Designation: SSE L1/L2/L3

Experience: 4-6 years

 Roles and Responsibilities:

As an Azure Data Engineer specializing in Azure Synapse, you will be responsible for designing, implementing, and maintaining data solutions leveraging the Azure Synapse Analytics platform. Your primary focus will be on building scalable and efficient data processing and integration pipelines, optimizing data storage and retrieval, and ensuring data quality and security. You will collaborate with data architects, data scientists, and other stakeholders to understand their requirements and translate them into technical solutions.

Key responsibilities include:

• Design, develop, and deploy data integration pipelines using Azure Synapse Analytics.
• Build and optimize data storage structures, including data lakes, data warehouses, and data marts.
• Implement data ingestion and extraction processes, ensuring efficient and reliable data movement.
• Develop and maintain ETL/ELT workflows and data transformation logic.
• Collaborate with data architects and data modelers to design and implement data schemas and models.
• Monitor and troubleshoot data processing and integration issues, ensuring data quality and consistency.
• Implement security measures to protect sensitive data and ensure compliance with regulations.
• Optimize data processing performance and scalability using Azure Synapse features and capabilities.
• Work closely with data scientists to enable advanced analytics and machine learning on Azure Synapse.
• Stay up-to-date with the latest Azure Synapse Analytics features and technologies and provide recommendations for their adoption.