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Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase. - Familiarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc.
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Familiarity with Apache Kafka, Vector Search, Apache Solr, Elasticsearch, Redis, LLM agents, and other data processing and caching tools. At adMarketplace, our mission is to deliver the most engaging consumer search experiences while empowering advertisers to measure media performance accurately.
$170,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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6+ years of experience within the field of data engineering or related technical work including business intelligence, analytics. - Ability to write designs for data architecture of data warehouse or data lake solutions or end to end pipelines.
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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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Experience in integrating application with indexed search services such as Elasticsearch, Solr. Experience in designing data streaming and event-based data solutions using Kafka, Kinesis, Flink, Spark or similar frameworks.
$153,550 - $230,350 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with complex search and data ingestion pipelines with specific knowledge of Apache Solr and Streaming Technologies. Experience with messaging technologies (i.e., Apache Kafka, MQ, JMS.
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Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc. Role: Big Data Engineer.
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Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Experience in streaming and/or batch analytics (e.g. Kafka, Spark, Flink, Storm, MapReduce, Hadoop.
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Experience with data access optimization for Cassandra, PostgreSQL and Solr/Elastic search and Lucene. Create efficient data messaging and access solutions for Kafka, Cassandra, and PostgreSQL databases.
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Copart is looking for a talented Lead or Senior Data Platform Engineer/Kafka Administrator to join our DevOps team to support our data, search and messaging platforms and other related technologies, as well as partner with the product team to ensure data integrity in the entire system.
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Developing distributed computing Big Data applications using Spark, Elastic Search on HDP Hadoop. Coding various Services, Components, and participating in the development of Java and Big Data/Hadoop processes.
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Working knowledge of NoSQL frameworks like Kafka, Cassandra, Solr, or Elastic Search. You will be working on exciting technologies like Kafka, Zookeeper, Scala, and event driven architecture.
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Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Expert in implementing and troubleshooting Hive, Pig, Storm, Kafka, Nifi, Elastic Search, Solr, HBase applications. Knowledge in the Cloud (Azure/AWS) big data solutions using EMR, HDInsight, Kinesis, Azure, Event Hubs, etc.
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Machine learning, artificial intelligence, neural networks experience is a huge plus (e.g. Tensorflow) Experience with configuration management tools (e.g. Git, Nexus, Maven) 5+ years of experience in Software Engineering with an emphasis in cloud computing with a Bachelors in related field; 3 years relevant experience with Masters in related field; or High School Diploma or equivalent and 9 years relevant experience.
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