We are looking for a skilled Azure Data Engineer with 2 to 7 years of experience. The ideal candidate will have expertise in Azure and be able to work on complex data engineering projects.

Roles and Responsibility

- Design, develop, and implement data pipelines using Azure services such as Data Factory, Synapse Analytics, and Azure Databricks.

- Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.

- Develop and maintain large-scale data warehouses and data lakes using Azure Blob Storage, SQL Server, and Cosmos DB.

- Ensure data quality and integrity by implementing data validation and testing procedures.

- Optimize data processing workflows to improve performance, scalability, and reliability.

- Troubleshoot and resolve technical issues related to data engineering projects.

Job Requirements

- Solid understanding of Azure services including Data Factory,



Synapse Analytics, Azure Databricks, Azure Blob Storage, SQL Server, and Cosmos DB.

- Experience with data modeling, data warehousing, and ETL processes.

- Excellent problem-solving skills and ability to analyze complex data sets.

- Strong communication and collaboration skills to work effectively with cross-functional teams.

- Ability to design and implement scalable and secure data architectures.

- Experience with agile development methodologies and version control systems like Git.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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