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Deep understanding and hands-on experience with ElasticSearch, including indexing, querying, and performance optimization. Deep understanding and hands-on experience with ElasticSearch, including indexing, querying, and performance optimization.
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At least 2 years of experience with distributed database systems (Cassandra, ElasticSearch, or Kafka) Strong understanding of distributed stateful applications (Cassandra, Elasticsearch, Kafka.
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Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
Full-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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At least 2 years experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) Strong understanding of container orchestration (Nomad, Kubernetes) At least 3 years experience with Docker, Terraform or Ansible.
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Software/Tools: AWS, Docker, Jira, VMware vCenter/vRealize, Kubernetes, Jenkins, Ansible, Prometheus, and Grafana; Cloud Native: AWS EC2, AWS CDK, S3, CloudWatch, CloudFront, CloudConfig, Elastic Container Services (ECS), DynamoDB, RDS, ElasticSearch, PowerBI, Tableau.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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5+ years experience with Docker, Terraform or Ansible. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.
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Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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You’d be joining a team of backend-focused developers who work primarily in Golang, Kafka, Cassandra, Elasticsearch, Docker/Kubernetes, and AWS-native services, making use of distributed/micro-services based architecture to build features for our highly available cloud SaaS platform, Falcon.
Full-timeRemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with monitoring and log aggregating frameworks such as Kafka, Logstash, Splunk, Elasticsearch, and Kibana. Chello, is a division and trademark of Oriental Bank, Member FDIC. We are looking for a Site Reliability Engineer which will focus on building & maintaining tooling and infrastructure for the automation of release, deployment, and upgrade processes.
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Kafka, Spark, Hadoop, MongoDB, ElasticSearch, MemSQL, Sybase IQ / ASE. Database Technologies: MongoDB, ElasticSearch, Cassandra, MemSQL, Sybase IQ / ASE. Data Technologies: Kafka, Spark, Hadoop, Presto, Alloy – a data management and data governance platform.
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Core Data services: Confluent Stack, Kafka, Couchbase, Cassandra, Rabbit MQ, PostgreSQL, Elasticsearch, Log stash, Kibana, Redis, etc. Prior experience in devops, CI/CD pipeline, Jira, ServiceNow, GitLab, Selenium, Docker, Jenkins, Infrastructure Orchestration as code, AWS, GCP, Apigee, Container Orchestration, Hashicorp Stack, etc.
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Prefer experience with Elasticsearch and the ability to perform data queries with a variety of differing database technologies. Data Engineer - ( Must have a TS/SCI clearance ) Prefer experience with Elasticsearch and the ability to perform data queries with a variety of differing database technologies.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization and diversity.
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Our tech stack includes Python, Django, Celery, MySQL, Elasticsearch, Vue, and Webpack. Experience with MySQL (or Postgres) and/or ElasticSearch. Our tech stack includes Python, Django, Celery, MySQL, Elasticsearch, Vue, and Webpack.
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Strong knowledge and hands-on experience with Elasticsearch. The ideal candidate will have a strong background in data engineering and be proficient in using the ELK (elastic, kibana, logstash) stack and Databricks for data processing and analytics.
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