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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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10+ years direct experience in Data Engineering with experience in tools such as: Big data tools: Hadoop, Spark, Kafka, etc. Search tools: Solr, Lucene, Elasticsearch Object-oriented/object function scripting languages: Python, Java, C.
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EXPERTISE TECHNOLOGYCloud, DevOps, RPA, SAP, Data warehouse, Business Intelligence, SFDC, Java, React js, Net, Embedded Technologies, Big Data and Hadoop, Abinitio, CyberArk, Dell Boomi, Golang, Mulesoft, Guideware, MarkLogic.
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Experience working with big data systems (Spark, EMR, Kafka, S3, Airflow) and programming languages (Java, Scala, or Python). Good understanding of system architecture, including experience with big data technologies, streaming architecture, and data pipelines.
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Big Table , Elastic Search, PostgreSQL, GCS , Kafka with Schema Registry, AVRO Model ReactJS, REST API , Apache Camel , Java 11, Spring Boot WNCP (Kubernetes and Docker) Different operating systems; Software maintenance tools and techniques; Application monitoring tools and techniques; Debugging tools; Mock screen; Pseudocodes; Reverse Engineering; Traceability matrix; System performance, security, integration; Data migration and accessibility; Design Methodologies; Telemetry.
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Familiarity with Big Data technologies like MongoDB and Cassandra - Familiarity with computer networking (firewalls, routing, CIDR, subnets). Experience with languages such as Java, React, Angular, Node, JavaScript, CSS, REST, and Go. Experience with DBs such as ELK SQL and NoSQL DBs. Experience with tools/technologies such as Concourse, Github, Rally, Jira, Splunk, Kibana, Grafana, Docker, K8s, and Cloud platforms.
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Title: Sr. Backend Java/Big Data Engineer. This is within the Big data space but is a Java shop with some Python. Java is main tech REST API, Microservices, Apache Storm (migrating from Apache Storm to Apache Spark), using Apache Iceberg, Snowflake, S3, Docker containers, Kafka/MQ/JMS for messaging, elastic search.
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Role: Big Data/Hadoop Developer/Engineer. Experience working with Hadoop/Big Data and Distributed Systems. Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc.
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Conceptual understanding of one or more of the following disciplines preferred big data technologies and distributions, metadata management products, commercial ETL tools, Bi and reporting tools, messaging systems, data warehousing, Java (language and run time environment), major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, major cloud, or rest API design and development.
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We have partnered with our client in their search for a Big Data/ETL Developer for a Hybrid Role in either San Diego, CA or Plano, TX.Responsibilities 3-5 years’ experience developing DB schemas, creating ETLs, and familiar with Hadoop/MPP systems.
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Big Data experience (Hadoop, MongoDB, Cassandra, Kafka, Splunk) You will be the key developer to aggregate the data being collected from HFRunMon and build an analytic and alerting platform using ELK (Elastic Search, LogStash and Kibana) Stack.
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We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python) Have experience in big data technologies and streaming architecture, data pipelines, etc.
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If so, our client is hiring a Big Data Engineer! As a full-service search firm, we partner with companies across industries, including Financial Services, Fintech, Consumer Goods and Services, Security and Logistics, Pharmaceutical / Biotech, Technology, Automotive, Engineering, and Healthcare.
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This is an excellent opportunity for someone experienced in Java development, analytics writing, and a passion for big data and distributed computing. Knowledge of big data, batch/streaming analytic methodologies, and MapReduce or Portable MapReduce frameworks.
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Experience with Big Data and distributed technologies such as Spark, EMR, Kafka a plus. Preferred to have knowledge of machine learning, data mining, information retrieval, statistics or natural language processing.
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search data java big jobs
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