Minimum 6+ years of experience. At least 3+ years' experience in real time Big data implementation.
• Code, Unit test, Hive, HDFS, KAFKA and SPARKScala/Pyspark.
• Build libraries, user defined functions, and frameworks around Hadoop/Spark.
• Exposure to cloud platform such as AWS or equivalent is desired.
• Develop user defined functions to provide custom Hive, HDFS, Kafka and SPARK capabilities
• Follow best practices and develop code as per standard defined
• Strong understanding of Hadoop internals
• Experience with databases like SQL Server / Oracle;
• Experience with performance/scalability tuning, algorithms and computational complexity
• Experience (at least familiarity) with data warehousing, dimensional modeling and ETL development
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• Excellent communication skills
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