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Data indexing, search, and analytics, i.e., Elasticsearch, Spark, Databricks, Delta Lake. AWS GovCloud tools and technologies including AWS RDS, Lambda, OpenSearch (Elasticsearch), ElasticCashe for managed Redis Cache, ALB for load balancing, EC2, S3, Elemental MediaConvert, SSO, EventBridge, MSK for managed Kafka, KMS.
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You have experience with large scale data processing technologies (e.g. Spark, Flink, Kafka, Airflow, YARN/Hadoop) You have experience in backend engineering, data infrastructure, search infrastructure or natural language processing/machine learning.
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Persistence: Elasticsearch, Cassandra, SQL data stores, othersEvent Bus: Kafka. Technically Proficient: Deep expertise with both relational and non-relational data stores, Elasticsearch, Cassandra, MySQL, PostgreSQL. Familiarity with JVM-focused tech stacks, particularly server-side Kotlin and gRPC.
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We're building the next-generation infrastructure and security platform for CrowdStrike which include an application and service delivery platform, massively scalable distributed data storage and replication systems, and a cutting-edge search and distributed graph system.
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Experience with 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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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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Any level of experience with Lead design and development of the Big Data Analytics Platform by gathering requirements from the various stakeholders and converting it to technical design and implementation using various Big Data technologies like Apache Spark, Mapreduce, Mongodb etc and programming languages like Java, Scala, Python and build and maintain search related product using technologies including Lucene and Elasticsearch.
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Proficiency and experience in applied statistical and machine learning fields e.g. Recommendations, Search, Fraud & Anomaly Detection, Experimentation and Causal Analysis Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark.
$153,000 - $235,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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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We're looking for top-notch search engineering talents in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search and multi-modal search.
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We're looking for a top-notch search engineering leadership in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, and search UX. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company.
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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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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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You have strong experience with data storages, such as relational databases (PostgreSQL) and search engines (ElasticSearch); you have experience with Big Data technologies (Apache Spark, Apache Kafka.
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The role involves collaboration in a cloud-agnostic environment, utilizing containerization with Docker and Kubernetes, and contributing to various aspects of backend development, Kafka, GitHub Actions pipelines, Elasticsearch, and video streaming platforms.
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