Job Details

Hadoop Administrator - Big Data Platform Engineer

Advertiser
Visa
Location
Austin, Texas, United States
Rate
-
Company DescriptionAs the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.You're an Individual. We're the team for you. Together, let's transform the way the world pays.Job DescriptionEssential FunctionsPerson will be responsibleto Perform Big Data PlatformAdministration and Engineering activitieson multipleHadoop, Kafka, Hbase and SparkclustersWork on Performance Tuning and Increase Operational efficiency on a continuous basisMonitorhealth of the platforms and Generate Performance Reports and Monitor and provide continuous improvementsWorkingclosely with development, engineering and operation teams, jointly work onkey deliverablesensuring production scalability and stabilityDevelop and enhance platform best practicesEnsure the Hadoop platform can effectively meet performance & SLA requirementsResponsiblefor Big DataProduction environment which includes Hadoop (HDFS and YARN), Hive, Spark, Livy, SOLR, Oozie, Kafka, Airflow,Nifi, Hbase etcPerformoptimization, debugging and capacity planning of a Big Data clusterPerform security remediation, automation and self heal as per the requirementQualificationsBasic Qualifications2 years of work experience with a Bachelor's Degree or an Advanced DegreeHands on Experience in Hadoop Admin , Hive ,Spark, Kafka is must.Preferred QualificationsMinimum3years of work experience in maintaining, optimization, issue resolution of BigData large scale clusters, supporting Business users and Batch process.Hands-on Experience No SQL Databases HBASE is plusPrior Experience in Linux / Unix OS Services, Administration, Shell, awk scripting is a plusExcellent oral and written communication and presentation skills, analytical and problem solving skillsSelf-driven, Ability to work independently and as part of a team with proven track recordExperience on Hortonworksdistribution or Open Source preferredAdditional InformationWork Hours:Incumbent must make themselves available during core business hoursOccasional weekend and evening hours needed, on a rotational basis for operational support.Travel Requirements:This position requires the incumbent to travel for work 5 % of the time.Physical Requirements:This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, and reach with hands and arms. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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