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Experience in SQL and NoSQL, such as MySQL, PostgreSQL, Cassandra, HBase, Redis, DynamoDB, Neo4j, etc. Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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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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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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8+ years of experience in wide variety of distributed systems and frameworks – such as Apache Spark, Kafka, Airflow, Kubernetes, Cassandra, Druid, Snowflake and more. 8+ years of experience in wide variety of distributed systems and frameworks – such as Apache Spark, Kafka, Airflow, Kubernetes, Cassandra, Druid, Snowflake and more.
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Google Cloud Platform (Data Proc, BigQuery) Data storage and analysis toolsets, including modern distributed technologies such as SparkSQL, Hadoop, Presto, Hive, Kafka, Cassandra, Redshift or other equivalent solutions.
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In-depth experience in building and consuming RESTful and GraphQL APIs. Strong experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). What you’ll doLead the design and implementation of applications and backend services using React, React Native, Node.js and other cross-platform technologies, ensuring a seamless user experience for web and mobile applications.
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Experienced with large data set processing with Hadoop, Kafka, Cassandra etc. TN visa sponsorship available for successful candidates. 3 - 7 years of working experience as Azure Data EngineerExperienced with MS Azure platforms and NoSQL data storesWorked on Spark, Redis, MongoDB, Scala, MarkLogic, SOLR etc.
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Direct experience with PostgreSQL, Cassandra, MongoDB, Hadoop, HDFS, HBase, Pig, Hive, Redis, MemcacheD, and Redshift is a plusPerks and Benefits @ Clari. Direct experience with PostgreSQL, Cassandra, MongoDB, Hadoop, HDFS, HBase, Pig, Hive, Redis, MemcacheD, and Redshift is a plusPerks and Benefits @ Clari.
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Familiarity with streaming and distributed computing technologies such as Kafka, Flink, Spark, Hadoop, Cassandra. Familiarity with streaming and distributed computing technologies such as Kafka, Flink, Spark, Hadoop, Cassandra.
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Design and develop backend services and APIs using Java, Spring Boot, Cassandra, Oracle SQL, and Kafka. Strong proficiency in backend development using Java, Spring Boot, Cassandra, Oracle SQL, and Kafka.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with open source projects like HBase, MapReduce, Elastic Search, Kafka, Spark, Presto, Cassandra, Zookeeper Pig, or Hive. Experience with open source projects like HBase, MapReduce, Elastic Search, Kafka, Spark, Presto, Cassandra, Zookeeper Pig, or Hive.
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Ensure security of the production, systems and applications for an AWS infrastructure with the current software stack: Django, RDS (MySQL), CDN w/Amazon CloudFront, PlayFramework, Cassandra, ElasticSearch.
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Experience developing and operating large-scale data pipelines demonstrating knowledge with technologies, such as Airflow, Luigi, Spark, Kafka, ElasticSearch, Cassandra, RDBMS and SQL. Design and build infrastructure for optimal extraction, transformation and loading of data from various data sources (e.g., AWS tooling, Databricks, DBT, Snowflake, Temporal, and SQL technologies.
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Primary technologies used include Go, Python, Linux, Kafka, AWS, Redis, Docker, Kubernetes, Cassandra, Terraform, Envoy, Node. JS. Experience with large-scale distributed storage and database systems (SQL or NoSQL, MySQL, Cassandra.
ExpandApply NowActive JobUpdated 5 days ago
cassandra job in San Francisco, CA
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