Data Engineering Analytics

      Individuals would work closely with the application teams to define, frame and capture business needs.

·       Developing understanding of Voice of the Customer data pipeline processes and leveraging the same to define and transform the data in the Cornerstone Big Data Platform.

·       Design and build robust data model architecture to support optimal data processing and standardized metric definitions.

·       Enable Big Data and batch/ real-time analytical solutions leveraging transformational technologies (Hadoop, HDFS, MapReduce, Hive, Spark and Python) to deliver innovative solutions ensuring data quality and accuracy through intensive testing at variable and use case level.

·       Provide recommendations to enhance capabilities to drive efficiency in computing applications using Big Data ecosystem.

·       Drive user story analysis & elaboration, design and development of software applications, testing & builds automation tools.

·       Proactively identify and automate manual tasks to improve quality and efficiency.

·       Role involves working closely with partners from Qualtrics/XM Discover and AET to prioritize, define, develop and test the data for various use cases as part of the VOC end to end process.