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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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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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Expert in SQL and proficiency in at least one programming language (Kotlin, Python, Go, Java, TypeScript) Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema.
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Familiarity and working knowledge would be needed in some of these: Python (Flask) Java Enterprise Programming (Tomcat, Apache, Spring Framework) DataIku, Tableau DataLake (Impala, Hive query building) HDFS, ETL Microsoft Azure Cloud Services APIGEE Koreai (Knowledge Graph and Pattern build) Akamai CDN Service Building application on DMZ Search engine and indexing tools (SOLR.
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Epocrates Engineering tech stack includes native iOS and Android apps, Java, AWS, Kafka, Knowledge Graph, SQL and non-SQL data store, React, TypeScript, Python, Vector Search DB, Docker and Kubernetes, a suite of in-house and third-party content publishing tools, A/B experiment design platform and a suite of commercial-advertising platform.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Key QualificationsExperience in machine learning, deep learning, information retrieval, natural language processing or data miningExperience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of following languages: Python, Go, Java, C.
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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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Experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (. Experience with open source textual processing such as Lucene, Sphinx, Nutch or Solr. Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc.
$146,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Proficient in at least one or more Java, Scala, Python, and Go languages. Modern data engineering technology research and product development. The Data Infrastructure team in the Data Platform organization serves Hadoop clusters, DW, and Orchestration platforms across the entire business domain.
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Fluency with one or more modern Object-Oriented Programming Languages (Python, Typescript, Java) They are looking to hire a Cloud Engineer who can support robust and repeatable cloud designs in support of data manipulation, large-scale infrastructure for data ingestion, and data visualization for custom client applications.
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Python, tomcat, UI - react, Postgress DB, Cassandra, Oracle DB. Kafka, elastic search, Kibana / logslash , REST APIs based on Spring-boot microservices. Primary skills: SQL Python Secondary Skills: Postman Testing APIs Parsing XML data JBDC Good understanding of how to review or work with data.
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Experienced developer with proficiency in some of the following beneficial: Typescript, Javascript, Node, React, Express, Mongo, Graph QL, Python, Java, C#, relational databases (SQL Server, Postgres), graph databases, search, data warehouses, data lakes.
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Search tools: Solr, Lucene, Elasticsearch Object-oriented/object function scripting languages: Python, Java, C. AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents) Data streaming systems: Storm, Spark-Streaming, etc.
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Knowledge of computer programming languages, including Python, R, SQL, Java, or Tableau. Altamira is in search of Russian Language Enabled Analysts in Dayton, OH to support the National Air and Space Intelligence Center (NASIC.
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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.
ExpandApply NowActive JobUpdated 10 days ago
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