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Proven experience conducting large scale data analysis and utilizing big data tools such as Maltego, Palantir, Tableau, etc. Proactively hunt for threats and undetected abuse by leveraging internal data, open-source intelligence, and third party private intelligence.
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Big Data – Hadoop (HDFS, YARN) and Kafka experience a plus. 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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Big Data storage technologies and their applications (HDFS, Cassandra, Columnar Databases, etc.) We are looking for an outstanding Principal Software Engineer with a passion for large scale databases and distributed systems to help us take the FDB platform to the next level.
$235,000 - $336,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Ability to experiment and adopt any new technologies in big data ecosystemExperience with the one or more tools and technologies: Hadoop, Hive, Spark, Pig, Scoop, Kafka, Presto, Impala, Drill, Druid, Relational SQL and NoSQL databasesData pipeline/workflow management tools such as Azkaban and AirflowAble to play around with configuration properties for performance tuningAt least one Cloud Service Provider among GCP/Azure.
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Craft data engineering components, applications and entities to empower self-service of our big data. Veryfi is looking for our next great data engineer that will build out and scale our analytics platform and corresponding data pipelines.
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Familiar with big data: ElasticSearch, Cassandra, MongoDB, Spark, or HDFS. As a Storage Engineer at Zoox, you will work with a team of engineers to build, implement, and maintain Zoox’s petabyte-scale high-performance storage systems which enable our robot and AI research efforts.
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Bonus Points You’ve worked previously as a FAANG Cloud Sales Consultant, Technical Consultant at Big 3/Big 4 or similar. Understanding of algorithms, data structures, architectural design and best practices.
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Experience in Cloud/Big Data platforms (e.g., AWS, GCE, Beam, Spark, etc.) Implement backend data pipelines for manipulating and managing big data. Design and implement fraud prevention/detection algorithms through analyzing complex time-series data.
$218,755 - $328,133 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with queuing/data-pipelining solutions (Storm, Redis, RabbitMQ, Amazon Kinesis, ZeroMQ, Kafka, etc. Knowledge and understanding of computer networking would be a big plus. Job Functions: Engineering, Software Infrastructure Engineer.
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To do so, we build Machine Learning and Big Data-driven technology that can accurately predict which apps a user will like, and connect them in a compelling way. Come join the rocket ship and help shape the future of the mobile app ecosystem with us.
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Architect the data warehouse and guide the team in implementation using Snowflake SnowSQL and other big data technologies. Expertise in Snowflake data modeling, ELT using Snowflake SQL, implementing complex stored procedures and standard DWH and ETL concepts.
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Strong in real time & batch pipelines in big data technologies (i.e. Spark/Kafka/Cassandra/Hadoop/Hive/Elasticsearch) strong in real time & batch pipelines in big data technologies.
$70 - $80 an hourFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with big data frameworks, Hadoop/MapReduce, HDFS, HBase or others. Established at Stanford University in 2011, we have assembled a team of world-class software architects, electrical and computer engineers, data scientists and energy experts who apply cutting-edge analytics and in-depth energy data science to solve the worlds most critical energy problems.
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Technical experience with artificial intelligence (AI), databases, and big data. 3+ years experience as an open-source developer advocate, solutions engineer, software engineer, or equivalent role.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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big data engineer jobs in San Mateo, CA
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