Job Description
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Key Responsibilities
- Design, develop, and maintain scalable data pipelines using PySpark
- Build and manage batch and real-time data processing systems
- Develop and integrate Kafka-based streaming solutions
- Optimize Spark jobs for performance, cost, and scalability
- Work with cloud-native services to deploy and manage data solutions
- Ensure data quality, reliability, and security across platforms
- Collaborate with data scientists, analysts, and application teams
- Participate in code reviews, design discussions, and production support
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