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Excellent coding skills, experience with Scala or other JVM languages, strong knowledge of SQL and relational databases, communication skills, intermediate system design skills, product acumen, working proficiency in English and Polish AWS GraphQL PostgreSQL MongoDB Elasticsearch.
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Knowledge of Elasticsearch, PostgreSQL, Spark, Hadoop, and data analysis. Knowledge of configuration management utilities (Chef, Salt, Ansible) and container-based deployment solutions (Docker, Kubernetes.
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An expert in AWS RDS and PostgreSQL. Monitoring and Logging: Graylog, Elasticsearch, Logstash, Prometheus, Grafana. Front-end: Front-end: ES6, Vue, Vuex, Vue Router, React, BackboneJS, Webpack.
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Excellent knowledge of SQL and NoSQL databases ( PostgreSQL, Elasticsearch, DynamoDB, MongoDB ) Excellent knowledge of SQL and NoSQL databases ( PostgreSQL, Elasticsearch, DynamoDB, MongoDB.
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Prefer understanding of databases, e.g. ElasticSearch, PostgreSQL. Deep understanding of any of RHEL/CentOS, Apache, Elasticsearch, Kibana, complex distributed computing, data flow statistics, system monitoring.
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Familiarity with data services such as Elasticsearch, Redis, NiFi, MongoDB, MySQL, PostgreSQL, etc., is preferred. Hands-on Python and Unix shell scripting is required with a strong advocate of DevOps principles in setting up continuous integration of source code pipelines using Bitbucket, Jenkins, Terraform, Ansible and continuous deployment pipelines using Artifactory and Spinnaker.
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Experience integrating machine learning models and data driven algorithms into larger system architectures that involve pieces like Flask, Elasticsearch, PostgreSQL, Celery, and RabbitMQ.
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Ruby on Rails, Kotlin, Javascript/Typescript + React, Redux, Sidekiq, Kafka, React Native, GraphQL, MySQL/PostgreSQL, AWS, Git, Apollo, Redis, ElasticSearch, Docker, Terraform, InfluxDB, Redshift, Jenkins, Nagios, CircleCI, DataDog.
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Experience delivering and maintaining relational databases such as PostgreSQL or MySQL, or document databases such as Elasticsearch or Solr, to include managed databases such as AWS Relational Database Service (RDS) or OpenSearch.
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Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies.
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Load and process disparate data sets using technologies including but not limited to PostgreSQL, Elasticsearch, Snowflake, Spark, Java, and Python. Load and process disparate data sets using technologies including but not limited to PostgreSQL, Elasticsearch, Snowflake, Spark, Java, and Python.
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Requires experience with Node.js with Typescript, SQL, PostgreSQL, Redis, ElasticSearch. Favorable if you have: Expertise in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular; back-end development, including proficiency in Java, Node.js, Python, or Ruby; and database systems such as PostgreSQL, MySQL, Oracle, and MongoDB. Expertise in DevSecOps tools and practices, including CI/CD pipelines.
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Develop and manage backend services using technologies such as Oracle, PostgreSQL, MongoDB, Redis, Elasticsearch, Solr, and SQL, ensuring efficient data storage, retrieval, and indexing capabilities.
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Proficiency in a wide range of government-specified technologies, including front-end frameworks (JavaScript, Angular), markup and styling languages (HTML, CSS), data interchange formats (XML, JSON), and back-end technologies (Oracle, PostgreSQL, MongoDB, Redis, Elasticsearch, Solr, SQL, Node.js with TypeScript.
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Experience with relational and non-relational databases (e.g.,MySQL,PostgreSQL,MongoDB, ElasticSearch). Experience with relational and non-relational databases (e.g.,MySQL,PostgreSQL,MongoDB, ElasticSearch.
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