Big Data/ Hadoop with AWS Cloud and Spark Experience

We are directly work with Infosys.

Established in 1981, Infosys is a NYSE listed global consulting and IT services company with more than 198,000 employees. From a capital of US$ 250, we have grown to become a US$ 10.4 billion (LTM Q1 FY 18 revenues) company with a market capitalization of approximately US$ 34.50 billion.

In our journey of over 35 years, we have catalyzed some of the major changes that have led to India's emergence as the global destination for software services talent. We pioneered the Global Delivery Model and became the first IT Company from India to be listed on NASDAQ. Our employee stock options program created some of India's first salaried millionaires.

Read more about the defining moments in the history of Infosys.

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:
1. AWS cloud
2. Big Data Hadoop
3. Spark
4. HBase
5. 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*:
1. Responsible for architecting, designing and developing cloud infrastructure and applications
2. 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.
3. 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.