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.
Data Engineer 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: Jersey City, NJ or REMOTE
Profile source data and determine all source data and metadata characteristics; Design and execute a Data Quality Audit/Assessment; Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data
Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment.
Document all mappings, mapplets, and rules in detail and hand over documentation to the customer.
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.
Big Data Technologies (Spark, pySpark, python, Hadoop, Hive, Hbase) 5+ Years of experience
Database background ( Distributed and Traditional ) - 5+ mandatory
Proficient understanding of code versioning tools like GIT, SVN etc
Posted on : 2021-05-04T14:12:24Z
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