Job Description
Job Description:
Responsibilities:
Design, develop, and optimize scalable and efficient data processing pipelines and architectures within Azure Data Lake and Databricks, leveraging best practices for performance and maintainability. Implement and manage complex ETL (Extract, Transform, Load) processes to seamlessly integrate data from diverse sources (e.g., databases, APIs, streaming platforms) into Azure Data Lake, ensuring data quality and consistency. Develop and maintain interactive dashboards and reports using SAP Business Objects and Power BI, translating complex data into actionable business insights. Focus on performance optimization and data accuracy. Leverage Azure Data Factory for data orchestration, workflow automation, and scheduling to ensure reliable and timely data delivery. Implement and maintain Azure Security & Governance policies, including access control, data encryption, and compliance fram...
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