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Big Data/ Hadoop with AWS Cloud and Spark Experience

TestingXperts · Madison, WI, United States

Weak hiring record · median 3440 days open

2626

Hiring signal

Ghost risk

Open 3364 days · How we score

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  • Open 3364 days
  • 100% of this employer's openings are over 60 days old

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  • Still listed on the employer's own board
  • Publishes a salary range

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Big Data/ Hadoop with AWS Cloud and Spark Experience at TestingXperts. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Hi

Hope you are doing great,

This is Siva Maddineni, currently we are looking for a Big Data || Madison WI (Only GC's or USC's)

At the time of Submission, I need VISA and ID proof.

Check with your consultants before submitting me. If they are comfortable with this requirement then only forward me.

Client: Infosys

Title: Big Data

Location: Madison WI (Only GC's or USC's)

Duration: 6 Months

Experience Need: Min 9+ yrs

Rate: $55-60/hr on w2

Job Description

Must Have Skills

  • AWS cloud
  • Big Data Hadoop
  • Spark
  • HBase
  • Azure

Detailed Job Description

Responsible for architecting, designing and developing cloud infrastructure and applications. Provide operational and technical expertise to initiatives for the Big Data analytics platform, data and applications, addressing a broad range of technologies including Big Data Hadoop, Spark, Kafka, HBase, Cassandra, Eslatic Search on Linux hosted on Azure or AWS cloud.

Top 3 responsibilities you would expect the Subcon to shoulder and execute*:

  • Responsible for architecting, designing and developing cloud infrastructure and applications
  • Provide operational and technical expertise to initiatives for the Big Data analytics platform, data and applications, addressing a broad range of technologies including Big Data Hadoop, Spark, Kafka, HBase, Cassandra, Eslatic Search on Linux hosted on Azure or AWS cloud.
  • Researching, architecting, designing and deploying new tools, frameworks and patterns to build a sustainable big data platform.

All your information will be kept confidential according to EEO guidelines.

Skills

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