Engineer

• Design, build, and optimize large-scale data processing systems using Apache Spark (Batch and Streaming)
• Collaborate with data scientists, analysts, and engineers to ensure scalable, reliable, and efficient data solutions
• Design, develop, and maintain big data solutions using Apache Spark
• Build data pipelines for processing structured, semi-structured, and unstructured data from multiple sources
• Optimize Spark jobs for performance and scalability across large datasets
• Integrate Spark with various data storage systems (HDFS, S3, Hive, Cassandra, etc.)
• Implement data quality checks, monitoring, and alerting for Spark-based workflows
• Ensure security and compliance of data processing systems
• Troubleshoot and resolve data pipeline and Spark job issues in production environments

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