Found Description
Job Description:
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Design, develop, and manage scalable and secure data pipelines using Databricks and PySpark.
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Architect and implement cloud-based data solutions, integrating structured and unstructured data sources.
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Write clean, efficient, and reusable code primarily in Python for cloud automation, data processing, and orchestration.
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Build and optimize ETL workflows and ensure seamless data integration across platforms.
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Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems.
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Troubleshoot performance bottlenecks in data flows and ETL processes.
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Integrate advanced analytics and support BI use cases within the Cloud ecosystem.
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Lead code reviews and ensure adherence to version control practices (e.g., Git).
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Contribute to the design and deploym...
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