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Subject to change)DESIRED QUALIFICATIONS:Experience in cloud-based technologies (AWS, Azure)Experience in distributed databases, NoSQL databases, full-text-search engines (e.g. Elasticsearch, MongoDB, Solr) Scripting experience is a huge plus.
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Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, OpenSearch (Elasticsearch & Kibana), Talend, Alation, Neo4j, Hashicorp Vault / AWS Secrets Manager, Docker / OpenShift / Open Cloud Foundry, MongoDB, Docker, BlackDuck, SonarQube.
$138,100 - $227,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Candidates are required to have the following skills: Front end: Angular 2 Middle Tier: Java, Spring, Springboot Back end: MongoDB, ElasticSearch Containerization using Docker and Kubernetes Perks and Benefits: 8 weeks paid leave - 4 weeks of personal leave, 3 Yay.
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Databases: Building optimal database persistence solutions using right database technologies (ex, PostgreSQL, MongoDB, Elasticsearch, Redis, KAFKA etc) DevOps: Creating automated CI-CD processes using containerization solutions (Docker), CI tools (Drone, Jenkins, Spinnaker), Orchestration (Kubernetes, Helm) and Infrastructure automation (ArgoCD, Rancher, Ansible, Terraform, Chef.
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Preferred Requirements Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc.
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Experience with modern database technologies (Elasticsearch, MongoDB etc.) Experience with ElasticSearch & Kibana. Experience with MongoDB or equivalent. Accenture Federal Services has an immediate hiring need for a Data Engineer in their National Security Practice.
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Experience and proficiency developing and implementing quality assurance and testing programs for workloads that are implemented with AWS services, and software development technologies that include Vue.js, Python, Django, S3, SNS, SQS, Docker, EKS/Kubernetes, AWS Step Functions, EventBridge, AWS Lambda, AWS API Gateway, Elasticsearch, Caching frameworks, like Redis, Memcached, the Amazon Relational Database Service (RDS) for Postgres, the MongoDB NoSQL database service, and other AWS services.
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Js or Vega User interface (UI) and user experience (UX) design Cloud-based deployment For applicants focusing on backend development or DevOps roles: Elasticsearch MongoDB Postgres Nginx Linux server (Ubuntu Server) administration Amazon Web Services setup and management Automated deployment Docker/Docker-compose, and automated CI/CD workflow setup Ansible LOCATION: La Jolla, California or Remote Employment within the United States.
$71,000 - $88,750 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Nice to have:Experience with OAuth implementation using Ping IdentityFamiliarity with API Management (Apigee) and Service Mesh (Istio)Experience with Elasticsearch, Logstash & KibanaGood knowledge and experience in any Queue based implementations.
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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 in MySQL, PostgreSQL, etc., familiar with No-SQL databases like Cassandra, MongoDB, Elasticsearch (Knowledge with NewSQL database like TIDB or YugabyteDB will be a plus) Experience in MySQL, PostgreSQL, etc., familiar with No-SQL databases like Cassandra, MongoDB, Elasticsearch (Knowledge with NewSQL database like TIDB or YugabyteDB will be a plus.
$110,000 - $261,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Back end: MongoDB, ElasticSearch. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat.
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Experience developing with SQL, NoSQL, ElasticSearch, MongoDB, and Spark, Python, PySpark for model development and ML Ops. Expertise (4+ years) in distributed computing and orchestration technology (Kubernetes, Ray, Airflow) and scaling, as well as public cloud platform & systems (AWS, GCP, Azure.
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Experience forward and reverse engineering data architecture and associated tools (ERwin, ER/Studio) and databases (Oracle, MongoDB, ElasticSearch, Hadoop, PostgreSQL) The technology environment includes Oracle database, No-SQL MongoDB, ElasticSearch, PostgreSQL, Hadoop, and JSON.
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Knowledge of configuration of various SQL databases: MS SQL, PostgreSQL, MongoDB, MariaDB, MySQL, Elasticsearch. Performs security assessments of NCS Family of Systems in accordance with NIST, Navy, NSA and NAVINTEL IA guidance.
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