Data Engineer-Pyspark

• Design, develop, and implement data pipelines using PySpark.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Develop and maintain large-scale data systems and architectures.
• Ensure data quality and integrity by implementing data validation and testing procedures.
• Optimize data processing workflows for improved performance and efficiency.
• Troubleshoot and resolve technical issues related to data engineering projects.

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