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Knowledge in big data and streaming data architecture (Lambda/Kappa), Understand open-source databases like MySQL, PostgreSQL, etc., and be familiar with No-SQL databases like Cassandra, MongoDB, Elasticsearch (Knowledge with NewSQL database like TIDB, Cockroach or YugabyteDB will be a plus.
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Experience in CI/CD pipeline and related open-source tools like GIT/Jenkin/CircleCI/SonarQube knowledge in Terraform/Ansible will be big plus. Use deep hands-on experience in complex system design and data pipeline and architectures, scale and performance, tuning, with good knowledge on Docker and Kubernetes.
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To do this, LegitScript combines big data with the world’s leading team of experts skilled in highly regulated and complex sectors, including transaction laundering detection, pharmaceuticals, online gambling, and more.
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Experience with Big Data technologies and developing in Hadoop ecosystem, i.e. Hadoop, Hbase, Hive, Scala, SPARK, Sqoop, Flume, Kafka, Python. Experience with Oracle and/or Postgres, NoSQL with Yugabyte, and/or Cassandra and/or Cosmos, a plus with competency in writing basic SQL and experience with JPA.
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Perform large-scale data processing using Python and Apache Spark. Schedule, monitor, and troubleshoot data pipelines with Apache Airflow. Knowledge of Hadoop/Spark and various data formats like Parquet, AVRO, CSV, etc.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (Hadoop, Spark, HDFS) and databases (Accumulo or Cassandra). DCS's Infoscitex Sector is an experienced Software Engineer to support development of new sensor data processing/management technologies and associated big data infrastructure leveraging data governance and data standards initiatives.
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Such as Python or other) Expertise working with large scale big data systems, architectures, and implementation - Splunk, Hadoop or Cassandra. Working experience with noSQL data platforms (Cassandra or MongoDB) Must have development experience Ansible.
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We are seeking a Senior Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies.
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Experience with Big data and streaming tools, Kafka, RabbitMQ. Familiar with Microservice architecture, proficient on MongoDB, MySql, Hadoop,HBase, Cassandra. PALO ALTO NETWORKS is the fastest-growing company in Silicon Valley, and a four-time Gartner Group Magic Quadrant winner for innovation and the ability to execute.
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Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure.
$110,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience with Big Data platforms (Hadoop, Apache Spark). Knowledge of databases (Postgres, Oracle, MySQL, NoSQL - MongoDB, Cassandra, Neo4J). Strong experience with front-end UI technologies (JavaScript, React, AngularJS, jQuery, AJAX, JSON, HTML, CSS.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Big Data Engineer. Develop and provide solutions for real time streaming solutions using Spark and Cassandra. Research and troubleshoot data quality issues, provide fixes and propose both short-term and long-term solutions by monitoring and improving the front-end performance.
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Previous experience with big data systems, analytics, containerized microservices, serverless functions, and event-driven architecture. Exposure to NoSQL databases like MongoDB, Cassandra.
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Experience with Big Data Technologies like Hadoop, Spark, EMR, Preferred: Certification in AWS, Java, Big Data or other relevant emerging technologies. Experience working with Databases like Oracle, SQL, Server, PostgreSQLand NoSQL databases such as Cassandra and Dynamo DB.
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2+ years of experience building solutions with the Big Data tools and frameworks such as Spark, Hadoop, Cassandra, NoSQL, etc. Experience working on Data science tasks and/or data science training / courses – big advantage.
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