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Design, develop, and maintain data solutions, pipelines and analytics applications using various tools and technologies including Hadoop, Spark, Hive, Kafka, SQL, MapReduce, Apache Kafka, Apache Storm, AWS, Snowflake etc. Gather & analyze requirements. Identify and implement process improvements. Assemble large, complex data sets to meet requirements. Implement methods to improve data reliability and data quality. Design and develop frameworks to stream data. Optimize data delivery and re-design infrastructure for greater scalability. Perform troubleshooting and provide issue resolution and similar duties.
Job Responsibility
Design, develop, and maintain data solutions, pipelines and analytics applications using various tools and technologies including Hadoop, Spark, Hive, Kafka, SQL, MapReduce, Apache Kafka, Apache Storm, AWS, Snowflake etc
Gather & analyze requirements
Identify and implement process improvements
Assemble large, complex data sets to meet requirements
Implement methods to improve data reliability and data quality
Design and develop frameworks to stream data
Optimize data delivery and re-design infrastructure for greater scalability
Perform troubleshooting and provide issue resolution and similar duties
Requirements
MS or foreign equivalent in Computer Science or Engineering (any) or Information Systems or Data Science or Related
1 year experience in data storage, analysis and pipelines, ETL, Apache Kafka and Apache Storm