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The full stack includes React + Typescript front end, Scala + OpenCV backend, and MongoDB as storage. Experience with React + Typescript, Scala, OpenCV, and MongoDB. We realize that it is unlikely that a candidate has experience with all the technologies used in this role, but we do expect a strong proficiency in React.
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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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Analyse on premises/ Azure transactional database environments such as Oracle, SQL Server, COSMOS, MySQL, PostgreSQL, MongoDB, Cassandra evaluate and plan migrations to Azure. Hands-on experience on Oracle, SQL Server, COSMOS, MySQL, PostgreSQL, MongoDB, Cassandra.
$70 - $75 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
$92,300 - $175,400 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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You’ll offer one or more of these services: Kubernetes, MongoDB, MongoDB Atlas, MySQL, Elasticsearch, Redis, RabbitMQ, and PostgreSQL. You will use Agile practices (Scrum and Kanban) to work with other engineers day-by-day and join daily standup meetings to share and understand where your team stands.
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Experience with databases such as MySQL, NoSQL (MongoDB, Atlas), Elastic search. You will use building blocks, Go language, Terraform, Ansible, and work with on-premise infrastructure OpenStack and Cloud services in Google Cloud Platform (GCP.
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You’ll be the subject matter expert in Kubernetes capabilities and collaborate with Operations and Reliability Engineering to guide teams in owning support while providing last mile support. Our benefits show that we care about the whole you, from adoption and surrogacy assistance to tuition reimbursement and wellness programs.
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Familiarity with database and SQL-based technology such as Oracle DB, PostgreSQL, and NoSQL stores a benefit, e.g. Cassandra, MongoDB, and data lakes such as Snowflake. Experience with DevSecOps and cloud-native technology having practical experience with tools such as Docker, Kubernetes, Jenkins, and Terraform is a plus.
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KEY SKILLS - DevOps, Azure Cloud Experience, Scripting (Shell, Python), Containerized platforms (Kubernetes) , extensive CICD knowledge (Jenkins, Docker, Maven), GITHUB as SCM, MongoDB, Oracle, Javascript.
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DevOps, Azure Cloud Experience, Scripting (Shell, Python), Containerized platforms (Kubernetes) , extensive CICD knowledge (Jenkins, Docker, Maven), GITHUB as SCM, MongoDB, Oracle, Javascript.
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Knowledge or experience in designing and deploying data processing systems with technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Teradata, Tableau, Qlik, or others.
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Proficiency in Golang, React & Typescript, and working with databases like Postgre, Mongodb, and time series data sets will play a vital role in driving innovation. Relevant Certifications: While not always mandatory, certifications in relevant technologies such as Azure, Golang, React, Typescript, and databases like Postgre and MongoDB can enhance the candidate's qualifications and demonstrate expertise in specific areas.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. Leverage expertise in Kubernetes, Ansible, AWS Cloud Migration, Cloudera, and IaC, while assisting junior engineers and broadening your knowledge base.
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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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Familiarité avec la technologie cloud Azure, Snowflake & MongoDB. · Familiar about Azure cloud technology, Snowflake & mongoDB. Knowledge of ETL experience, Informatica along with Python experience and DevOps, Apache Spark/Shell Scripting.
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