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Direct Hire || Big Data Analytics @ Idc Technologies S

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 Direct Hire || Big Data Analytics

Desired Candidate Profile



Greetings from IDC Technologies...!!!

We have full time position of Big Data Analytics role with one of our client in Chennai/Mumbai/Noida locations. Interested candidates can emailing me their resumes at shilpa.sharma @idctechnologies.com with following details:

CTC:
ECTC:
NP:
Passport Number (Mandatory):
Expiry Date (Mandatory):

Job Location : Chennai/Mumbai/Noida

Total of 8 12 Years of experience in BI & DW with at least 4 6 years of experience in Big Data implementations


  • Understand business requirements and convert them into solution designs
  • Architecture, Design and Development of Big Data data Lake Platform.
  • Azure HD Insights, Spark/data bricks, Data Streaming, Data Factory, Analysis Services, Power BI, R, Python
  • Experience in implementing Data Hub / Lake / Factory
  • Experience in ingestion of enterprise & third party data into Azure
  • Understand the functional and non-functional requirements in the solution and mentor the team with technological expertise and decisions.
  • Produce a detailed functional design document to match customer requirements.
  • Responsible for Preparation, reviewing and owning Technical design documentation.
  • Code reviews, and preparing documents for Big Data applications according to system standards.
  • Conducts peer reviews to ensure consistency, completeness and accuracy of the delivery.
  • Detect, analyse, and remediate performance problems.
  • Evaluates and recommends software and hardware solutions to meet user needs.
  • Responsible for project support, support mentoring, and training for transition to the support team.
  • Share best practices and be consultative to clients throughout duration of the project.
  • Hands-on experience in working with Hadoop Distribution platforms like HortonWorks, Cloudera, MapR and others.
  • Take end-to-end responsibility of the Hadoop Life Cycle in the organization
  • Be the bridge between data scientists, engineers and the organizational needs.
  • Do in-depth requirement analysis and exclusively choose the work platform.
  • Full knowledge of Hadoop Architecture and HDFS is a must
  • Working knowledge of MapReduce, HBase, Pig, MongoDb, Cassandra, Impala, Oozie , Mahout, Flume, Zookeeper/Sqoop and Hive
  • In addition to above technologies , understanding of major programming/scripting languages like Java, Linux, PHP, Ruby, Phyton

Contact Details:

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Keyskills:   Hadoop Hive Flume Oozie Sqoop Hdfs Mapreduce Impala Java Spark

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Idc Technologies S

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