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Scala Developer
1 week ago
Join our team as a Big Data Engineer and be part of a dynamic and innovative company. Must have 4+ years of IT experience.
- Strong experience in Spark and Scala.
- Develop and maintain big data applications utilizing Spark and Scala, ensuring top-notch performance, reliability, and scalability.
- Implement Spark data processing techniques, focusing on performance tuning, memory management, fault tolerance mechanisms, and scalability improvements.
- Utilize expertise in streaming systems like Spark Streaming and Storm to integrate real-time data processing capabilities into big data applications.
- Architect and deploy scalable streaming solutions to efficiently handle high-volume data streams.
- Apply advanced data modeling techniques to design streamlined data schemas and structures for analytics and reporting.
- Optimize query processing and execution for intricate analytical queries to boost performance and responsiveness.
- Good to have familiarity with streaming systems like Spark Streaming and Storm.
- Experience with Spark Data processing, Performance Tuning, Memory Management, Fault Tolerance, Scalability.
- Strong knowledge of Hive, Sqoop, Spark, data warehousing, and information management best practices.
- Expertise in big data infrastructure, distributed systems, data modeling, query processing, and relational databases.
Experience with Scala.
- Object-Oriented Programming concepts (Singleton and Companion Object, Class, Case Class, File Handling, and Multithreading), Collections (Array, String, Tuple, Set, List, Map), Pattern Matching.
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