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Posted: Wednesday, September 6, 2017 6:00 AM

The most exciting part is the enormous potential for personal and professional growth. We are always seeking new and better tools to help us meet challenges such as adopting proven open-source technologies to make our data infrastructure more nimble, scalable and robust. Some of the cutting edge technologies we have recently implemented are Kafka, Spark Streaming, Docker and Mesos.As a DevOps Engineer, you'll support data infrastructure services, like Hadoop, RDBMS, Vertica, Kafka etc from installation and configuration to maintenance and curation. You will work closely with analysts, data scientists, and developers to make data processing transparent and provide data services that help drive and support business goals.Team Responsibilities:Installation, upkeep, maintenance and monitoring of Kafka, Hadoop, Vertica, RDBMSIngest, validate and process internal & third party dataCreate, maintain and monitor data flows in Hive, SQL and Vertica for consistency, accuracy and lag timeDevelop, maintain a framework for jobs (primarily aggregate jobs in Hive)Create different consumers for data in Kafka such as camus for Hadoop, flume for Vertica and Spark Streaming for near time aggregationTrain Developers/Analysts on tools to pull dataTool evaluation/selection/implementationBackups/Retention/High Availability/Capacity PlanningDisaster Recovery- We have all our core data services in another Data Center for complete business continuityReview/Approval - DDL for database, Hive Framework jobs and Spark Streaming to make sure it follows our standards24*7 On call rotation for Production supportTechnologies We Use:Chronos - for job schedulingDocker - Packaged container image with all dependenciesGraphite/Beacon - for monitoring data flowsHive - SQL data warehouse layer for data in HDFSImpala- faster SQL layer on top of HiveKafka- distributed commit log storageMarathon cluster wide init for Docker ContainersMesos - Distributed cluster resource managerSpark Streaming - Near time aggregationSQL Server - Reliable OLTP RDBMSSqoop - Import/Export data to RDBMSVertica - fast parallel data warehouseRequired Skills:3+ Years experience supporting critical applications on Linux operating system preferably Red Hat, including OS installation and upgrade, package management, volume management, security auditing, and performance tuning including 2+ years with configuration management and containerization tools.Proficiency in at least one scripting language ( e.g. python, perl, ruby, scala)Familiarity with RDBMS, SQL;Proficiency with configuration management tools such as Ansible, Puppet or ChefExperience with Docker and Mesos/kubernetes is a huge plus.Passion for engineering and computer science around data - You must be self driven, inquisitive and hungry to learn and improve.Willingness to participate in 24x7 on-call rotation
Associated topics: application, backend, back end, c#, java, matlab, perl, php, programming, sdet


• Location: Manhattan

• Post ID: 130844392 manhattan is an interactive computer service that enables access by multiple users and should not be treated as the publisher or speaker of any information provided by another information content provider. © 2017