Data Engineer Azure
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Job Summary
Job Description:
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Design develop and maintain scalable and secure data pipelines using Azure Databricks and Azure Data Factory.
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Build and optimize ETL/ELT workflows for large-scale structured and unstructured datasets.
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Develop cloud-based data engineering solutions leveraging Azure services.
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Write clean reusable and efficient code in Python and PySpark for data transformation and automation.
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Implement data integration solutions across multiple platforms and systems.
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Design and develop data models using normalization and denormalization techniques.
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Manage and optimize Azure storage solutions including:
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Azure Data Lake Storage (ADLS)
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Azure Blob Storage
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Troubleshoot and optimize performance bottlenecks in data pipelines and Spark jobs.
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Support data warehousing reporting and BI integration use cases.
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Collaborate with analytics and business teams to deliver actionable insights.
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Participate in code reviews and ensure adherence to coding standards and Git version control practices.
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Contribute to the design and deployment of enterprise-scale data warehouse architectures.
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Stay updated with emerging Azure cloud technologies and best practices.
