Hadoop reporting platform (freelancer / consultant)

Job Description

  • Install, configure and maintain enterprise hadoop environment.
  • Loading data from different datasets and deciding on which file format is efficient for a task. Hadoop developers source large volumes of data from diverse data platforms into Hadoop platform.
  • Understanding the requirements of input to output transformations.
  • Hadoop developers spend lot of time in cleaning data as per business requirements using streaming API’s or user defined functions.
  • Defining Hadoop Job Flows.
  • Build distributed, reliable and scalable data pipelines to ingest and process data in real-time. Hadoop developer deals with fetching impression streams, transaction behaviours, clickstream data and other unstructured data.
  • Managing Hadoop jobs using scheduler.
  • Reviewing and managing hadoop log files.
  • Design and implement column family schemas of Hive and HBase within HDFS.
  • Assign schemas and create Hive tables.
  • Managing and deploying HBase clusters.
  • Develop efficient pig and hive scripts with joins on datasets using various techniques.
  • Assess the quality of datasets for a hadoop data lake.
  • Apply different HDFS formats and structure like Parquet, Avro, etc. to speed up analytics.
  • Build new hadoop clusters
  • Maintain the privacy and security of hadoop clusters.
  • Fine tune hadoop applications for high performance and throughput.
  • Troubleshoot and debug any hadoop ecosystem run time issues.
Qualification

Any

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Job Information
Work Experience
8 to 10yrs
Salary
Best in industry
Start Date
Immediate
Location
Remote
Employment Type
–
Shift
–
Work Model
–
Partial on-site
–

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