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naukri

Data Engineer

Confidential Company
, QAT
5-10 years
Yesterday
ETLData WarehousingSQLPythonSparkCloud Computing (AWS
Free

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ETLData WarehousingSQL
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Overview

  • Design, develop, and maintain data ingestion, transformation, and orchestration pipelines using Microsoft Fabric and Azure Data Factory (ADF).
  • Build and manage ETL/ELT processes for structured and unstructured data sources.
  • Develop and optimize data models, data lakes, and data warehouses within the Azure ecosystem.
  • Integrate data from multiple on-premises and cloud-based systems.
  • Monitor, troubleshoot, and optimize data pipelines to ensure reliability and performance.
  • Implement data quality, governance, and security best practices.
  • Collaborate with business analysts, data scientists, and stakeholders to understand data requirements.
  • Develop and maintain technical documentation, data dictionaries, and operational procedures.
  • Support reporting and analytics platforms such as Power BI.
  • Participate in data platform modernization and cloud migration initiatives.implementing improvements.

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