Job Description:

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.

Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, inspires thought leadership, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.

Hadoop Developer – Full – Time *This role is not able to offer visa transfer or sponsorship now or in the future*

AIA - Artificial Intelligence and Analytics Practice

This Practice that leads all initiatives surrounding incorporating AI into Customer Intelligence, Operations Intelligence, Product Intelligence, and Fraud Insights

Location and Travel: Jupiter, FL .  

  

•             Assemble large, complex data sets that meet functional / non-functional business requirements

•             Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

•             Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Oracle, SQL and SAP based systems

Cognizant is committed to veteran and military communities. Cognizant has been often recognized as a military friendly employer and is a coalition member of the Veteran Jobs Mission. Our business resource group Veterans Network assists our military associates in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence.

 

 

 

 

 

 

• Experience with big data tools: Hadoop, Spark/Scala, Kafka, etc.


• Experience with data pipeline and workflow management tools such as Oozie, Control M etc.


• Experience with stream-processing systems: Storm, Spark-Streaming, etc.


• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

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