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Proficient experience utilizing JavaScript, Elasticsearch, JSON, SQL, XML. Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis. Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
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Java, Spring, Docker, ElasticSearch, Microservices architecture, mongodb, API development, Maven, GIT. Database experience include MongoDB, ElasticSearch, Ignite, CockroachDB, percona DB and MySQL.
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Bonus: React, JavaScript with TypeScript, Node.js, Python, PostgreSQL, MongoDB, Elasticsearch, Kubernetes. Bonus: React, JavaScript with TypeScript, Node.js, Python, PostgreSQL, MongoDB, Elasticsearch, Kubernetes.
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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.
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Experience with noSQL technologies such as Elasticsearch and MongoDB. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. LCAT Description: The Software Engineer designs, develops, tests, deploys, documents, maintains, and enhances complex and diverse software systems based upon documented requirements.
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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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Experience with the AWS platform Experience with non-relational databases such as DynamoDB, MongoDB or ElasticSearch Experience with relational databases (preferably SQL Server) Experience with Docker and container orchestration Commercial Real Estate (CRE) knowledge is a bonus What’s in it for You When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.
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Familiar with mainstream KV (Redis/MongoDB), ElasticSearch and vector retrieval architecture, familiar with common basic components such as message queue and rule engine, familiar with Big data computing tools such as Hive\ Hdfs\ Hbase, with multi-threading and high-performance design, coding and performance Experience in tuning.
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Maitrise des concepts Cloud (Databricks) mais aussi des concepts Search engine (Elasticsearch, Mongosearch) Maitrise des concepts NoSql (MongoDb ou Hadoop) ainsi que des concepts BDD relationnel (SQL.
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Working knowledge of relational databases (MySQL, Oracle) and NoSQL databases (ElasticSearch, MongoDB, Redis, etc. Yes Energy delivers real-time market data and electric power trading decision solutions.
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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 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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Leverage your expertise in Kubernetes, Ansible, AWS Cloud Migration, Cloudera, and IaC. Hands on experience developing enterprise cloud-native solutions involving Kubernetes, Docker, Cloudera, AWS, Jenkins, or RHEL Systems.
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Experience developing enterprise cloud-native solutions involving Kubernetes, Docker, Cloudera, AWS, Jenkins, or RHEL Systems. SoSACorp has an immediate need for an experienced Cyber Risk Analyst who will use their experience to work with DoD programs to discover their cyber risks, understand policies, and develop mitigation plans.
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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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