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Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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You have worked extensively building ML applications and big data pipelines at scale on cloud platforms such as AWS or GCP. You possess strong foundational knowledge of software engineering, big data and ML platform principles.
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Experience with Big Data Technologies (MapReduce, Hive, Spark, Kafka, Yarn, Storm), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop.
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Familiarity with artificial intelligence/machine learning, IoT, big data, and cloud technology. Develop and implement a comprehensive digital marketing strategy including account-based marketing, email marketing, lead nurturing, retargeting, display advertising, paid search, SEO, and SEM to create and advance pipeline.
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Knowledge of big data, batch/streaming analytic methodologies and frameworks. Experience with Lucene based open-source search tools like Solr or ElasticSearch. Experience with Lucene based open-source search tools like Solr or ElasticSearch.
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Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems. The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company.
$210,000 - $358,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
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Processing Big data using BigQuery and Apache Hive; - Building deep learning models using Pytorch and Tensorflow; and - Building and using different types of neural networks, such as Recurrent Neural Networks (RNN), Convolutional Neural Networks (CNN), or Graph Neural Networks (GNN.
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Familiarity with Phantom, Cloud computing, Web Interfaces, Databases, and Big Data technologies (like Hadoop, Kafka, etc.) Solugenix is assisting a client, a prestigious and large investment management company in their search for a Splunk Engineer.
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Strong knowledge and technology trends in implementing of Big data ecosystem. Relational (Oracle, DB2) and NoSQL databases (DynamoDB, Elastic search, Graph DB) Proven understating of data architecture patterns such as Lambda, Event driven Architecture, Data as a Service, Microservice etc.
$69 - $70 an hourFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Ability to create and optimize Big Data correlations as a Splunk search language (SPL) proficient. Position Summary and Principal Responsibilities: This role will be in Data Management Department on the Analytics Report & AI & Client Engineering team.
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Nor will Cloud Big Data Technologies require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and become the property of Big-D Construction. Big-D Construction , has an opportunity for an MEP Superintendent - Mechanical to join our Mission Critical team based in Salt Lake City, UT.
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RCS is seeking an experienced Software Engineer to enhance our team with expertise in Elasticsearch and other big data search and exploitation skills. Demonstrated experience with Big Data tools and environments containing structured and unstructured data.
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Experience using relational databases such as PostgreSQL or MySQL; document databases such as Elasticsearch or Solr; or big data technologies such as Hadoop, Hive, or Spark. The application is a large-scale structured data search and discovery tool running in an AWS environment with broad mission adoption.
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