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Experience with data lakes, HDFS, Kafka, MongoDB, Elasticsearch, Oracle platforms, Spark and advanced analytic tools. Network access and traffic control with Checkpoint, Palo Alto, Zscaler, Akamai, Azure, AWS, and SDWAN.
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Understanding of the Microsoft BI Stack, including: SSIS, SSAS, SSRS, and Power BI. Endpoint Management, software packaging, and distribution with SCCM, Intune, and SyxSense. Cloud automation and configuration management with Ansible, Terraform, Chef.
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Our app uses MySQL, Redis, ElasticSearch, and is hosted on AWS. We leverage AWS for email (SES), database (RDS and ElastiCache) and search (OpenSearch). Our E-Mail targeting engine is built 100% in house and uses ElasticSearch to.
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Understand open-source databases like MySQL, PostgreSQL, etc., familiar with No-SQL databases like Cassandra, MongoDB, Elasticsearch (Knowledge with NewSQL database like TIDB or YugabyteDB will be a plus.
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Familiarity with Bind DNS, OpenLDAP, Apache/Tomcat, ElasticSearch, as well as security technologies such as Snort/Suricata and Splunk. Familiarity with Bind DNS, OpenLDAP, Apache/Tomcat, ElasticSearch, as well as security technologies such as Snort/Suricata and Splunk.
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Knowledge in one or more of the following: NoSql technologies (Cassandra, ScyllaDB, ElasticSearch, Redis, DynamoDB), Sql Technologies (PostgresSQL), Queueing system experience (Kafka, RabbitMQ, SQS, Azure Service Bus, etc.
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Knowledge of administering NoSQL databases such as MongoDB, Couchbase, ElasticSearch, or HBase. Must be knowledgeable and experienced in managing PostgreSQL on multiple operating systems including Microsoft Windows, Linux (RHEL) and Kubernetes in OpenShift platform.
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Experience with the ELK (Elasticsearch, Logstash, Kibana) stack, Elastic Cloud on Kubernetes (ECK), Kafka, Beats, and/or Splunk. The work involves designing, developing, and implementing data models, index structures, and storage strategies; ingesting/indexing processes and transforming/normalizing data to common standards using log aggregation tools (e.g., Elasticsearch and Splunk); enriching data upon ingest and querying; and creating queries against big data.
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The OpenSearch team is, among other things, focused on creating the best enterprise automation solution for search and analytics suites like OpenSearch and Elasticsearch. Experience operating and managing search and analytics engines like Elasticsearch, Logstash, KIbana, and OpenSearch.
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Experience in the search engine such as Elasticsearch. Experience in the Atlassian stack tools Jira, Confluence and Bitbucket (GIT). Experience in virtual machines systems such as VMware and containerized systems such as Docker/Kubernetes.
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