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At Randstad (Schweiz) AG, we are seeking a highly skilled Senior Data Migration Specialist to join our team.
Role Overview:The ideal candidate should have expertise in Spark, SQL, and Java (Scala) for data processing, reporting, and development. A strong background in data architecture and semantic layer development is required, as well as experience in regression testing and cutover activities in large-scale migrations.
Key Responsibilities:Data Processing:- Develop and optimize Spark-based data processing for large-scale ETL and analytics.
- Implement Spark SQL, DataFrames, RDDs, and Streaming for efficient data transformations.
- Optimize Spark job performance, tuning memory, partitioning, and execution plans.
- Handle real-time and batch data processing using Spark Streaming or structured streaming.
- Write and optimize complex SQL queries for data extraction, transformation, and aggregation.
- Work on query performance tuning, indexing, and partitioning for optimized execution.
- Develop and manage stored procedures, functions, and views for data operations.
- Ensure data consistency, integrity, and security in relational database systems.
- Develop data processing applications using Scala (running on JVM) and Java-based backend services.
- Optimize JVM performance, memory management, and garbage collection to enhance Spark job execution.
- Utilize Scala's functional programming features for efficient data transformations in Spark.
- Implement multithreading, concurrency, and parallel processing in Java for high-performance applications.