Position Overview
Job Description
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Key Responsibilities:
Data Engineering & Architecture:
Design, develop, and maintain high-performance data pipelines for structured and unstructured data using Azure Data Bricks and Apache Spark.Build and manage scalable data ingestion frameworks for batch and real-time data processing.Implement and optimize data lake architecture in Azure Data Lake to support analytics and reporting workloads.Develop and optimize data models and queries in Azure Synapse Analytics to power BI and analytics use cases.Cloud-Based Data Solutions:
Architect and implement modern data lakehouses combining the best of data lakes and data warehouses.Leverage Azure services like Data Factory, Event Hub, and Blob Storage for end-to-end data workflows.Ensure security, compliance, and governance of data through Azure Role-Based Access Control (RBAC) and Data Lake ACLs.ETL/ELT Development: