Big Data/Hadoop AWS Cloud and Spark
Listed on 2026-10-11
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IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering, AWS
- Contract
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.
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 .
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.
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