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Experience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink. Our engineering team at OpenSea is in search of a strong, driving, but curiousData Engineer to take charge of our data replication, ETL, and warehousing infrastructure to empower our core user experiences, trust & safety models, and business intelligence use cases.
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To this end, open sources such as Hadoop, Spark, Hive, Presto, Airflow, Oozie, Docker, Kubernetes, Ansible, Terraform, Packer, and Java and Python are used as development languages. The infrastructure managed by the Data Infrastructure team provides various data processing related to Coupang services, including log analysis, recommendation, price comparison, AB testing, search indexing, advertising, and rocket delivery.
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The Data Infrastructure team in the Data Platform organization serves Hadoop clusters, DW, and Orchestration platforms across the entire business domain. The Data Infrastructure team simultaneously serves hundreds of Hadoop clusters in cloud environments and has the infrastructure and know-how to reliably scale to thousands of nodes.
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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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Big data technologies to include: Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef.
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Work on Search algorithm, web services, search indexing, data mining, big data, Hadoop, deep learning, recommendations, and performance by developing a Search platform at Adobe that would power Adobe Clouds such as Creative Cloud, Document Cloud and Marketing Cloud.
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Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.) This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; search recall, precision, ranking, and related problems; sensor fusion models, optimization and mathematical programming with applications in labor scheduling, capacity planning, and inventory optimization.
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Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack Experience with Big Data Frameworks, such as hadoop, spark, flink, etc.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST. Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar.
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Big Data exposure (e.g., Apache Spark, Hadoop, MapReduce, DL4J, ND4J, JSAT, Java-ML, MLib, Retina, JDMP) Clearance requirement: TS/SCI w/FS Poly. Looking for a stress-free job search.
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Experience levels: Principal: 20+ years experience Senior: 14-19 years experience Mid: 7-13 years experience What you'll need (all levels): - Java - RESTful API development - Spring Framework - Docker - Database experience (e.g., MongoDB, Accumulo, etc.
Work from homeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in labor scheduling, inventory and capacity planning, network flows, and supply chain optimization.
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Hadoop MapReduce, Cascading/Scalding, Apache Spark, AWS EMR. -Database/Search – Oracle, complex SQL queries, stored procedures, performance tuning concepts, SOLR, AWS RDS, AWS Aurora. Java (must), Python, Scala.
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Spark streaming, Kafka, Apache Storm, Flink NoSQL. HBase, Cassandra, MongoDB. Job Requirements Qualifications.
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Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza. Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing.
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