Informacje o stanowisku

- Building distributed and highly parallelized Big data processing pipeline which process massive amount of data (both structured and unstructured data) in near real-time

- Leveraging Spark to enrich and transform corporate data to enable searching, data visualization, and advanced analytics

- Working closely with analysts and business stakeholders to develop analytics models

- Continuous delivering on Hadoop and other Big Data Platforms

- Automating processes where possible and are repeatable and reliable

- Working closely with QA team

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