10.0 - 15.0 years

10 - 15 Lacs

Ahmedabad, Gujarat, India

On-site

What You'll Do: Design and Develop: Analytics workloads using Apache Spark and Scala for big data processing. Create and Optimize: Data transformation pipelines using Spark or Apache Flink. Migrate Workloads: From cloud platforms to open-source Apache Spark infrastructure on Kubernetes. Implement Optimization: Performance techniques for large-scale data processing Expertise You'll Bring: Scala Programming: Focus on functional programming paradigm. Apache Spark: Extensive experience with core concepts and APIs, including: Spark SQL and DataFrame APIs Spark Structured Streaming Spark MLlib for analytics Distributed Computing: Strong understanding of big data processing frameworks. Data Modeling: Expertise in optimization techniques for large-scale datasets. Performance Tuning: Proficiency in optimizing Spark jobs. Lakehouse Storage: Good understanding of technologies like Delta Lake and Apache Iceberg

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