"o Design and implement scalable, secure, and high-performance data pipelines using Azure-native services and Azure Databricks.
Develop and maintain ETL/ELT processes to ingest, transform, and integrate data from diverse sources.
Build and optimize data workflows using Databricks notebooks, PySpark, and SparkSQL for both batch and streaming data.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights.
Monitor, troubleshoot, and resolve issues in data workflows and pipelines.
Implement data governance, security, and privacy best practices.
Contribute to DevSecOps practices, including CI/CD automation and infrastructure as code.
Stay current with emerging Azure and Databricks technologies to drive continuous improvement"
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