HDFS Jobs in Bangalore (Bengaluru)

REQUIREMENT:  Previous experience of working in large scale data engineering  4+ years of experience working in data engineering and/or backend technologies with cloud experience (any) is mandatory.  Previous experience of architecting and designing backend for large scale data processing.  Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.  Hands-on and have the ability to contribute a key portion of data engineering backend.  Self-inspired and motivated to drive for exceptional results.  Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.  Familiarity and experience working with different DB technologies and how to scale them. RESPONSIBILITY:  End to end responsibility to come up with data engineering architecture, design, development and then implementation of it.  Build data engineering workflow for large scale data processing.  Discover opportunities in data acquisition.  Bring industry best practices for data engineering workflow.  Develop data set processes for data modelling, mining and production.  Take additional tech responsibilities for driving an initiative to completion  Recommend ways to improve data reliability, efficiency and quality  Goes out of their way to reduce complexity.  Humble and outgoing - engineering cheerleaders.