Job description
- Provide end to end vision and hands on experience AWS Big Data Platforms. Platforms especially best practices around HIVE and HBASE.
- Experience automating common adminstratvie tasks in AWS
- Troubleshoot and configure AWS Technologies including HDFS, Kafka, Hive, Pig, Flume, HBase, Spark, Impala and Hadoop ETL development via tools such as ODI for Big Data and APIs to extract data from source.
- Troubleshooting for AWS Technologies like EC2, S3, Cloud Foundation, etc.
- Translate, load and present disparate data-sets in multiple formats and from multiple sources including JSON, Avro, text files, Kafka queues, and log data.
- Administration of Cloudera clusters on AWS services, security, scalability, configuration and availability and access
- Lead workshops with many teams to define data ingestion, validation, transformation, data engineering, and Data Modeling
- Performance tune AWS Athena, HIVE and HBASE jobs
- Design and develop open source platform components using Spark, Sqoop, Java, Oozie, Kafka, Python, and other components is a plus
- Lead capacity planning & requirements gathering phases including estimate, develop, test, manage projects, architect and deliver complex projects
- Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates
- Contribute to the thought capital through the creation of executive presentations, architecture documents and articulate them to executives through presentations
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