Data Engineer

• Design and develop scalable data pipelines and warehouses using Apache Spark.
• Implement ETL processes to ensure data quality and integrity.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Develop and maintain technical documentation for data systems and pipelines.
• Troubleshoot and resolve issues related to data processing and storage.
• Ensure compliance with industry standards and best practices for data management.

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