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 current Azure technologies for continuous improvement.

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📌 Azure Data Engineer (Karnataka)
🏢 Iflow
📍 Karnataka