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Big Data Engineer
Big Data Engineer

Big Data Engineer at DataMetica · Pune · 2.5 - 6 years · ₹1L - ₹8L / yr · Profitable · Posted 24 Aug 2021

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Big Data Engineer

Nikita Aher's profile picture
Posted by Nikita Aher
2.5 - 6 yrs
₹1L - ₹8L / yr
Pune
Skills
Big Data
Hadoop
Apache Hive
Spark
Data engineering
Pig
Data Warehouse (DWH)
SQL
Job Title/Designation: Big Data Engineers - Hadoop, Pig, Hive, Spark
Employment Type: Full Time, Permanent

Job Description:
 
Work Location - Pune
Work Experience - 2.5 to 6 Years
 
Note - Candidates with short notice periods will be given preference.
 
Mandatory Skills:
  • Working knowledge and hands-on experience of Big Data / Hadoop tools and technologies.
  • Experience of working in Pig, Hive, Flume, Sqoop, Kafka etc.
  • Database development experience with a solid understanding of core database concepts, relational database design, ODS & DWH.
  • Expert level knowledge of SQL and scripting preferably UNIX shell scripting, Perl scripting.
  • Working knowledge of Data integration solution and well-versed with any ETL tool (Informatica / Datastage / Abinitio/Pentaho etc).
  • Strong problem solving and logical reasoning ability.
  • Excellent understanding of all aspects of the Software Development Lifecycle.
  • Excellent written and verbal communication skills.
  • Experience in Java will be an added advantage
  • Knowledge of object oriented programming concepts
  • Exposure to ISMS policies and procedures.
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About DataMetica

Founded :
2013
Type :
Services
Size :
100-1000
Stage :
Profitable

About

As a global leader in Data Warehouse Migration, Data Modernization, and Data Analytics, we empower businesses through automation and help you attain excellence. Our Belief is to Empowering companies to master their businesses and helping them achieve their full potential, we nurture clients with our innovative frameworks. Our embedded values help us strengthen the bond with our clients, ensuring growth for all. Datametica is a preferred partner with leading cloud vendors. We offer solutions related to migration from current Enterprise Data Warehouses to the Cloud determining which of these is best suited to your needs. We are giving Data Wings.
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Sumangali Desai
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