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Comprehensive knowledge of database storage systems, encompassing relational databases (SQL-Server, PostgreSQL, Oracle etc), NoSQL databases (Cassandra, MongoDB etc.) Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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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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Hands-on experience in Scala/Big Data technologies (Spark/Flink, Hive, Oozie, Hbase/Cassandra/MongoDB, Redis, YARN, Kafka) Experience with Java/Scala programming language Experience with shell scripting Experience with ETL job design using Nifi/Streamsets/Talend/Pentaho/etc.
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Experience working with large-scale, end-to-end data platforms and analysis solutions with exposure to platforms and tools such as [Databricks, Spark, Kafka, Cassandra, MongoDB, Redis, MySQL, DBT, Tableau, and Mode] preferred.
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Experience in technologies such as Hadoop, Spark, Kafka, Redis, Cassandra, Pandas, Dask, Airflow, Apache Beam, MongoDb, Hive, Impala, Hazelcast, Athena, Presto. Experience in technologies such as Hadoop, Spark, Kafka, Redis, Cassandra, Pandas, Dask, Airflow, Apache Beam, MongoDb, Hive, Impala, Hazelcast, Athena, Presto.
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Se desarrolla principalmente en Java 1.8 con Spring Boot, y utilizamos diversas BBDD como ser MySql, MongoDB, Cassandra, Redis, ElasticSearch. Conocimientos en Base de datos relacionales (MySQL) y no relacionales (Cassandra MongoDB, Redis), HTTP API REST.
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Python, Javascript, React, Angular JS, Cucumber, Hibernate, Jasmine, Java, Jenkins, Junit, Karma, MongoDB, Oracle Database, Postgres, Cassandra, PL/SQL. Python, Javascript, React, Angular JS, Cucumber, Hibernate, Jasmine, Java, Jenkins, Junit, Karma, MongoDB, Oracle Database, Postgres, Cassandra, PL/SQL.
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1+ years of experience working directly on PostgreSQL, MongoDB or Cassandra databases will be a plus. Prior experience of working with databases in high transaction environments; For data warehousing, large (10TB+) data warehouses on Oracle RAC/ODA/Exadata, MPP platforms (Redshift, Netezza, Snowflake, Yellowbrick, DashDB, Vertica, Azure SQL DW) or Hadoop.
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Atleast 2+ years of experience with relational (mysql, postgres)/non-relational database systems (Cassandra, mongodb, cockroachdb etc.,) Top 3 Skills Node. JS, VUE JS, React JS, Atleast 1+ years of Vue.js development experience.
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Architect and integrate popular open source software such as PostgreSQL, MongoDB, Kafka, Cassandra and NGINX. to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.
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Experience with both SQL (MSSql, Oracle), NoSql (Cassandra, Yugabyte, MongoDb, CouchBase, ElasticSearch, SOLR) and possibly graph databases and the understanding of the pros and cons of each.
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Experience as a Mongo Data Administrator, with a blend of database experience with MongoDB, SQL Server, and Cassandra. Experience maintaining complex databases including MongoDB, Cassandra, and MySQL.
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Data stores knowledge (Zookeeper, Cassandra, MongoDB, Hadoop, Acumulo) JavaScript, Python, Ruby, PL/SQL, Bash Scripting, ColdFusion 4.0/5.0, JSP, GSP, Lucene. Development tools expertise: Maven, Gradle, Apache ANT, Ruby on Rails, Docker, JMeter, SoapUI, Git, SVN, CVS, Rational Jazz.
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Advanced experience working with databases like Oracle, PostgreSQL, SQL Server, MySQL, MongoDB or Cassandra and messaging frameworks like MQ and Kafka Proficient in writing enterprise level REST services with Java Spring MVC. Experience deploying applications to the cloud using AWS, Azure, or CloudFoundry with experience in creating and maintaining containers with Docker and Kubernates.
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You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems.
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