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GrapgQL, gRPC, Docker Framework, SonarQube, Kafka, Loadrunner, Jira, Confluence, Cucumber, Kubernetes (or similar technology), ELK Integration (Elasticsearch, Logstash & Kibana) Experience and knowledge of atleast one of the following Document based DBs - Cassandra, couchbase, Redis, MySQL, MongoDB etc.
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We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka. e Vertica or Redshift or Cassandra or DynamoDB.
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Experience with Big Data technologies and developing in Hadoop ecosystem, i.e. Hadoop, Hbase, Hive, Scala, SPARK, Sqoop, Flume, Kafka, Python. Experience with Oracle and/or Postgres, NoSQL with Yugabyte, and/or Cassandra and/or Cosmos, a plus with competency in writing basic SQL and experience with JPA.
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Existing exposure to Go, Scala, AWS, Cassandra, Kafka, Elasticsearch. We work on large scale distributed systems, processing over 1 trillion events a day with a petabyte of RAM deployed in our Cassandra clusters - and this traffic is growing daily.
Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What You’ll DoBuild backend end services using technologies and languages including but not limited to: Java, Springboot, Spring Web flux, PostgreSQL or any Relational database, Cassandra, Mongo or any NoSQL database, Kafka.
$92,300 - $175,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with any of these technologies is a plus: Docker, Kafka, Kubernetes, Cassandra/NoSQL databases, SQL Server, PostgreSQL, Git, Jenkins. Experience with any of these technologies is a plus: Docker, Kafka, Kubernetes, Cassandra/NoSQL databases, SQL Server, PostgreSQL, Git, Jenkins.
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Experience with at least one mainstream distributed system (e.g. Kafka, Hadoop, Cassandra, etc.) Excitement in learning about streaming data and becoming a domain expert in Apache Kafka.
$93,000 - $109,260 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience in building and operating large-scale distributed storage and data management systemsFamiliarity with Big data processing such as Hadoop, Kafka, Cassandra, Spark, HBase, Hive, NoSQL, etc.
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Experience in developing Docker images for a tech stack including Cassandra , Kafka, Apache, and several in house written Java services running in Google Cloud Platform (GCP) on Kubernetes.
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2+ year of experience with in-memory databases such as Redis, MongoDB, or Cassandra. 4+ years of MQ Series or Kafka Messaging experience. 1+ year of Splunk log monitoring , APS tools like NewRelic, AppDynamics, Elastic Stack etc.
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Knowledge of tools for code development, optimization, and testing (e.g., Dynatrace, Cassandra, Selenium, Apache Kafka, Camel, Active MQ, IBM MQ). Knowledge of tools for code development, optimization, and testing (e.g., Dynatrace, Cassandra, Selenium, Apache Kafka, Camel, Active MQ, IBM MQ.
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Getting your hands-on modern technologies and big data tools, including Hadoop, Kafka, Cassandra, MongoDB, Hive, HBase, Impala, Sqoop, Flume, Oozie, Zookeeper, Pig, Cloud Computing, Spark, Scala.
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Our tech stack includes Apache Kafka, Java/Go microservices, Cassandra, Couchbase, ElasticSearch, Analytics Data warehouses, Trino, S3 Data Lake. Our tech stack includes Apache Kafka, Java/Go microservices, Cassandra, Couchbase, ElasticSearch, Analytics Data warehouses, Trino, S3 Data Lake.
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Performance and scale engineering of data services including high availability and multi-site replication such as Cassandra, Postgres, Kafka, RabbitMQ, etc. Implement automation to perform the day to day systems operations functions of the cloud collaboration platform using open source configuration tools such as Terraform, Puppet, Ansible, and familiarity with CI/CD tools such Jenkins and Github.
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This person will working on all new green development projects utilizing an array of tools such as: JVM programming languages(Java/Springboot, Groovy, Python), Docker + Kubernetes, Javascript/React, Kafka, Elastic Search, Lucene, Spark, and Cassandra, DynamoDB as well as Neo4J. Obviously very few folks have touched/been hands-on with all of these tools in production.
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