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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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Experience with frameworks such as Kafka, Cassandra, Redis, Elasticsearch, and S3. Our cloud-native, AI-powered operating system and technology platform are transforming investment operations to enable reduced fees and the ability to offer new and innovative products, including crypto-asset services, while scaling for the future.
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Experience with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, ElasticSearch. Experience with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, ElasticSearch. When needed; troubleshoot, solve document flow & accessibility issues, and communicate findings to the Content Operations Team and Project Managers.
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Demonstrate database technologies, including Elasticsearch and SQL databases. Demonstrate artificial intelligence and machine learning technologies/packages, such as TensorFlow, PyTorch, and scikit-learn.
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Elasticsearch + Golang Experience. Create a custom control plane for ElasticSearch as a React app that talks to the back end described above. Develop a first-class ElasticSearch-based search capability to power product and inspirational search.
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Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components. Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components. You have significant backend programming experience in one or more languages (Go, Java, Rust, C.
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You've used or are interested in technologies like PostgreSQL, TimescaleDB, Redis, Message Queues, and ElasticSearch. Build integrations with tools throughout the data pipeline ecosystem including ETL tools (e.g. Airflow), warehouses (e.g. Snowflake), transformation tools (e.g. dbt), and business intelligence tools (e.g. Looker.
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You will be using tools such as Spark, Hadoop, Scala, Data Fusion and Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
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Js, Angular, jquery), CSS, Postgres, MongoDB, Elasticsearch, AWS, Docker, Kubernetes, SumoLogic, SAML, REST, Jenkins, Jira, Git, GitHub, Confluence, JSON, qTest, browsers and more. js, Angular, jquery), CSS, Postgres, MongoDB, Elasticsearch, AWS, Docker, Kubernetes, SumoLogic, SAML, REST, Jenkins, Jira, Git, GitHub, Confluence, JSON, qTest, browsers and more.
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API/Data Services : HTTP, GraphQL, REST, Swagger, ActiveMQ, gRPC, WebSockets Back-end : NodeJS, Python, C#, Java Spring Cloud/Virtualization : Docker, AWS EC2, VM Ware Databases : Neo4j, Postgres, MongoDB, ElasticSearch, Redis, MySQL, MS SQL Server Development workflow : Webpack, grunt, gulp, npm, yarn, gradle.
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Tech Stack: Java, Spring Boot, Python, Cassandra, Elastic Search & REDIS, Azure, AWS. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Very strong experience in coding in Java and using Spring Boot framework.
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Working knowledge of relational databases (MySQL, Oracle) and NoSQL databases (ElasticSearch, MongoDB, Redis, etc.) Keywords React, JavaScript, Cypress.io, Jest, Enzyme, Java, JUnit, Cucumber, Python, SQL, REST API, Postman, Single Page Applications, DevOps, CI/CD, DX, Agile, TDD / Test-Driven Development.
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Co-own our core infra (AWS/Terraform, Postgres, Elasticsearch) and core backend services like email and search. Work alongside the co-founder/CTO and founding engineering team to scale Rally's User Research CRM. You’ll be responsible for standing up core infra, creating new services used by our team of product engineers, and help build new features.
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Do you know the trade-offs between open source cloud technologies such as Elasticsearch, Cassandra, Kafka, Hadoop, Spark, Flink, Kubernetes, Swarm, etc. Familiarity of NoSQL systems and working with Big Data, such as Elasticsearch, Cassandra, AWS DynamoDB, or other cloud hosted NoSQL databases.
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elasticsearch job in Boston, MA
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