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NET MVC, C#, Java, NodeJS, HTML, CSS, SASS, SQL Server, Oracle, MySQL, SQL, Queries, Functions, Stored Procedures, Azure Cosmos DB, MongoDB, Azure, AWS, Business Intelligence, ADF, SSIS, SSAS, SSRS, Power BI, Mobile Development Experience, Xamarin, Swift, Objective-C, CI/CD Pipeline, GitHub Actions, Azure Pipelines, Gitlab Runners.
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Knowledge of cloud platforms such as GKE (Google Kubernetes Engine), Spanner, BigQuery, Redis, and MongoDB. To deploy and manage services, utilize cloud platforms such as Google Kubernetes Engine (GKE), Spanner, BigQuery, Redis, and MongoDB.
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Experience in MongoDB, Cassandra, HDFS, Spark, Kafka, Apache Nifi (highly preferred). Experience in Service Assurance Products and Telecommunications technologies (SONET, DWDM, OTN standards, IP routing protocols (OSPF, BGP, IS-IS), MPLS or Ethernet ) is a big plus.
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Experience with logging, search, and visualization tools such as the Elastic Stack (Elasticsearch, Logstash, Kibana) and GrafanaGeneral networking protocol stack knowledge. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.
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Data Tier – MongoDB, Elasticsearch. Front End – Vue.js. At Genospace, our mission is to be the leading information platform for applied precision medicine. Many of the most advanced precision medicine organizations are powered by Genospace.
$137,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Detailed understanding of the following - Spring Boot/Go/Python, Spring Security, MongoDB, RabbitMQ/Kafka, Splunk, ELK, Kubernetes/OpenShift, Docker, Swagger. Detailed understanding of the following - Spring Boot/Go/Python, Spring Security, MongoDB, RabbitMQ/Kafka, Splunk, ELK, Kubernetes/OpenShift, Docker, Swagger.
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We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure.
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Familiarity with distributed storage systems like DB2, Sybase / Sybase IQ, MongoDB Familiarity with continuous integration and continuous deployment (CI/CD) pipelines especially using Git Working knowledge of Unix/Linux experience.
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Our data architecture is built on self-hosted SQL server along with S3, RDS, Redshift and Elasticsearch. Our data architecture is built on self-hosted SQL server along with S3, RDS, Redshift and Elasticsearch.
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Strong knowledge of database systems (MySQL, PostgreSQL, MongoDB). js, Angular, or Vue.js is a plus. Experience with cloud services (AWS, Azure, or GCP) and containerization tools like Docker or Kubernetes.
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Job DescriptionWe seek a MongoDB Snr. Engineer or Architect to work with development and other engineering teams to build and implement best practices for our MongoDB and other cloud database platforms.
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Technical skills : Data science, Python, Javascript, MongoDB, AWS/Google Cloud Platform, API Programming, vertex.ai. Technical skills : Data science, Python, Javascript, MongoDB, AWS/Google Cloud Platform, API Programming, vertex.ai.
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Database Integration: Design and implement data models using MongoDB, ensuring efficient data storage and retrieval, and potentially explore NoSQL alternatives like Cassandra or DynamoDB. Oracle Cloud Integration: Utilize Oracle Cloud platform services (e.g., OCI Compute, OCI Database, OCI Container Engine for Kubernetes) to enhance application functionality and performance, potentially integrating with other cloud services like messaging queues or serverless functions.
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Big Data experience (Hadoop, MongoDB, Exadata) As a Senior Data Analyst, you will be instrumental in assisting with the initial setup and ongoing documentation/configuration related to Data Governance and Master Data Management solutions.
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Experience with S3 (Ceph), Elasticsearch, Grafana and other open-source components. User/dev experience of one of the following products: Prometheus, InfluxDB, Victoria Metrics, Elasticsearch, Grafana Loki.
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