Azure Data Engineer

Role Descriptions: Azure Data Engineer - Azure| Python| Pyspark | Azure Data Factory | Databricks| Pandas|NoSQL Essential Skills: Azure| Python| Pyspark | Azure Data Factory | Databricks| Pandas|NoSQL Desirable Skills: Keyword: Skills: Digital : Databricks Experience Required: 6-8 Design, develop, and maintain scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake to support enterprise data integration and analytics requirements. Build, optimize, and manage ETL/ELT processes for structured, semi-structured, and unstructured data from multiple internal and external data sources. Develop data models, transformation logic, and data workflows to ensure high-quality, reliable, and accessible datasets for business intelligence and reporting. Collaborate with data analysts, data scientists, software developers, and business stakeholders to understand data requirements and deliver effective data engineering solutions. Monitor pipeline performance, troubleshoot data processing issues, and implement performance tuning techniques to improve efficiency and reliability. Implement data security, governance, backup, and compliance practices while maintaining data integrity and adherence to organizational policies. Automate deployment processes using Azure DevOps, version control systems, and Infrastructure as Code to support continuous integration and continuous deployment. Create technical documentation, maintain data architecture standards, and provide ongoing production support while evaluating new Azure technologies for continuous improvement. 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.