Aboutus:We are creating theData observability space. We make it possible for data:drivenenterprises to effectively monitor, discover, and validate Datapipelines at Petabyte scale. Our customers include a Fortune 500company, one of Asias largest telecom companies, and a unicornfintech startup. We are lean, hungry, customer:obsessed, andgrowing fast. Our Solutions team values productivity, integrity,and pragmatism. We provide a flexible,remote:friendly workenvironment.We are building software that canprovide insights into companies data operations and allows them tofocus on delivering data reliably with speed and effectiveness.Join us in building an industry:leading data operations platformthat focuses on optimizing modern data lakes for both on:premiseand cloudenvironments.Responsibilities:- Our Site reliability engineers work on improving the availability,scalability, performance, and reliability of enterprise productionservices for our products as well as our customer's data lakeenvironments. You will use your expertise toimprove the reliability and performance of Hadoop Data lakeclusters and data management services. Just as our products, ourSREs are expected to be platform and vendor:agnostic when it comesto implementing, stabilizing, and tuning Hadoopecosystems. You'd be required to provideimplementation guidance, best practices framework, and technicalthought leadership to our customers for their Hadoop Datalakeimplementation and migration initiatives. Youneed to be 100 hands:on and as a required test, monitor,administer, and operate multiple Data lake clusters across datacenters. Troubleshoot issues across the entirestack:andnetwork. Dive into problems with an eye to bothimmediate remediations as well as the followthrough changes andautomation that will prevent futureoccurrences. Must demonstrate exceptionaltroubleshooting and strong architectural skills and clearly andeffectively describe this in both a verbal and writtenformat.Requirements:- Customer:focused, Self:driven, and Motivated with a strong workethic and a passion for problem:solving. 7+years of designing, implementing, tuning, and managing services ina distributed,enterprise:scale on:premise, andpublic/private cloud environment. Familiaritywith infrastructure management and operations lifecycle conceptsandecosystem. Hadoop clusterdesign, Implementation, management, and performance tuningexperience with HDFS, YARN;- HIVE/IMPALA,SPARK,Kerberos and related Hadoop technologies are amust. Must have strong SQL/HQL querytroubleshooting and tuning skills onHive/HBase. Must have a strong capacityplanning experience for Hadoop ecosystems/datalakes. Good to have hands:on experience with:KAFKA, RANGER/SENTRY, NiFi, Ambari,ClouderaManager, and HBASE. Good to have data modeling,data Importante empresa, and data security experience within the Hadoopecosystem. Good to have deep JVM/Java debugging and tuningskills. None
