Data Engineer

We are seeking a skilled Azure Data Engineer to design, build, and maintain scalable data solutions on the Microsoft Azure platform. The ideal candidate will have strong experience developing data pipelines, optimizing data architectures, and supporting analytics and business intelligence initiatives. This role will work closely with data analysts, data scientists, and business stakeholders to ensure reliable, high-quality data is available for reporting and advanced analytics.

Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure data services.

Build and manage data solutions using tools such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure Databricks.

Develop and optimize data models, transformations, and storage strategies for large-scale structured and unstructured datasets.

Ensure data quality, integrity, and security across the data platform.

Monitor and troubleshoot data workflows, pipeline failures, and performance issues.

Collaborate with data analysts, BI developers, and data scientists to deliver reliable datasets for reporting and analytics.

Implement data governance and best practices for data management and documentation.

Automate data processes and deployments using CI/CD pipelines and infrastructure-as-code practices.

Optimize cost and performance of Azure data services.

Stay current with new Azure features, tools, and industry best practices.