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The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Job Responsibility:
Design, develop, and optimize big data processing pipelines using Apache Spark and Java
Work on batch and real-time data processing frameworks to transform large datasets
Write high-performance Spark jobs using RDDs, DataFrames, and Datasets
Collaborate with data engineers, architects, and analysts to ensure seamless data integration
Optimize Spark performance through tuning, partitioning, and efficient memory management
Deploy and maintain Spark-based applications in cloud environments (AWS, Azure, GCP) or on-premises clusters
Troubleshoot performance bottlenecks, failures, and latency issues in big data applications
Implement best practices for data governance, security, and compliance
Work with CI/CD pipelines, version control (Git), and automation tools for continuous deployment
Requirements:
Strong experience in Java 5+, with expertise in functional programming and concurrency
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