drjobs Amazon Redshift Data Engineer

Amazon Redshift Data Engineer

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Job Location drjobs

India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

About Client:

One of our MNC clients offers technology consulting and digital solutions to global enterprises across industries enabling transformative scale at unparalleled speed. With 145000 professionals across 90 countries helping 1100 clients it provides a full spectrum of services including consulting information technology enterprise applications business process services engineering services network services customer experience & design services AI & analytics and cloud & infrastructure services. It is the first Indian company in the world to have been awarded the Sustainable Markets Initiatives Terra Carta Seal in recognition of actively leading the charge to create a climate and naturepositive future.

Job Description:

Should have basic understanding of MPP technology and columnar DB Should have knowledge of Copy Insert Update Delete Compression Sorting and Data Distribution Should have knowledge of AWS services like EC2 S3 and IAM

Should have experience in Copy Insert Update Delete Compression Sorting and Data Distribution Should have experience in performance tuning and debugging Should be able to develop solutions for project specific requirements using the tool for the intended delivery competency Should be able to make effective use of available best practices and standards Should be able to handle errors and tune performance Should have handson experience in the tool Should have experience of AWS services like EC2 S3 and IAM Should have knowledge of data encryptionokenization/obfuscation

Should have developed reusable artifacts like code components design components best practices and standards for the tool for the intended delivery competency Should be able to handle complex design problems and exceptions relevant to the tool for the intended delivery competency

Employment Type

Full Time

Company Industry

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala
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