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Detailed Job Description:

• Spark Engineer (focus on Spark and Scala)
• Solid in Scala programming
• Good at Memory management
• Familiar with data transfer
• AWS experience is preferred
• Big Data Hadoop, Spark, PySpark
• Hands on Programming Java, Scala, Python
• AWS Cloud S3, EFS, MSK, ECS, EMRLambdas
• Containerized and Microservices
• Distributed Computing constructs JoinsMapReduce
• RDBMS MySQL, Aurora and No - SQL
• Kafka Streaming
• Data Storage Architecture
• Data Formats Experience Parquet, CSV etc.
• Data Transformation constructs. - partitioningShuffling
• Agile Experience a plus
• Build data pipelines, data stores
• Azure, GCP knowledge is a plus