Posted:1 week ago|
Platform:
Work from Office
Full Time
Title and Summary
Senior BizOps EngineerBusiness Operations is leading the DevOps transformation at Mastercard through our tooling and by being an advocate for change & standards throughout the development, quality, release, and product organizations. We need team members with an appetite for change and pushing the boundaries of what can be done with automation. Experience in working across development, operations, and product teams to prioritize needs and to build relationships is a must.Mastercard looking for a BizOps SRE who would be responsible for supporting, deploying, configuring and maintaining Hadoop applications, jobs and BI reports. Essential Duties and Responsibilities include the following:Keeping a track of all the running Hadoop jobs and their impact to the cluster.Troubleshoot and fix the failure of Hadoop ETL jobsWork with Development team in case of critical incidentsResolve the service ticket raised by the customer and maintain the good SLAGood knowledge in debugging MapReduce/Spark/impala jobs and good understanding of LogsFix and troubleshoot reporting issues raised by the customersAnalyse SQL queries generated by the reports for erroneous results.Work closely with service operation team for any incidentsTesting and evaluating the Hadoop systems, performing regular maintenance tasksUnderstanding the problems of the client and handling all escalated cases promptlyShould know shell scripting and Good hands on experience in Linux/Unix environment.Skills:Excellent knowledge of UNIX/LINUX OSKnowledge of cluster monitoring tools like Cloudera ManagerGood hold of shell scriptingKnowledge in Hive, Oozie, impala, Yarn, spark and other Hadoop eco systemsAll About YouUnderstanding of the best of the breed solutions on Artificial Intelligence and prior experience in supporting integrating commercial products and Analytics solutions to scale.Understanding of the tools, methodologies and languages used to develop AI models and serve them across various business units.Prior experience on Data Science/AI framework/platform for high through-put and resiliency.Capable of understanding complex variables including Information and Data Governance, Data Management, Information Security, Privacy & Compliance to support high quality AI solutions in a matrix organization, solving hard problems while navigating through ecosystem tools technology being used.Ability to quickly adapt on latest trends, tools and skills in the AI/Data Science/Machine Learning space to better server the platform.
Mastercard
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