Big Data Engineer Job in Kcs

Big Data Engineer

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Job Summary

Responsibility:

  • Working knowledge of using Python or other languages for creating pipelines and data processing
  • Build high-performance algorithms, predictive models, and prototypes.
  • Ensure that all systems meet the business/company requirements as well as industry practices.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Proficient understanding of distributed computing principles
  • Management of Hadoop cluster, with all included services
  • Ability to solve any ongoing issues with operating the cluster
  • Proficiency with Hadoop v2 or higher, MapReduce, HDFS
  • Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
  • Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
  • Experience with Spark
  • Experience with integration of data from multiple data sources
  • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
  • Knowledge of various ETL techniques and frameworks, such as Flume

Qualification :
BE,MCA,B.Tech, M.Tech
Experience Required :

Minimum 2 Years

Vacancy :

5 - 10 Hires

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