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Do you have prior experience in building data platform / data lake and analytics SaaS services in public cloud with expertise in modern Big Data stack (Kafka, Hadoop, Spark, Flink, Hive.
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As a Lead Software Engineer on this team, you will be helping to address our two main challenges: keeping up with the ever-increasing amount of data gathered by our agents, and making this information more actionable for our customers.
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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 6 days ago - UpvoteDownvoteShare Job
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Kora: A Cloud-Native Event Streaming Platform For Kafka. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Interest in evangelism (giving talks at tech conferences, writing blog posts evangelizing Kafka.
$155,100 - $178,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Familiar with data stack applications like SQL Database, Data warehouse, Kafka etc. Vianai's unique human-centered approach empowers data professionals and domain experts to leverage causal data science, drive deeper intelligence into decision making and improve business outcomes.
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Bonus points if you have Hands-on experience with Kafka, Flink, Spark, or PulsarExperience designing systems that integrate 3rd party code and componentsExperience with Kafka and streaming data processing Fostering a diverse, welcoming and inclusive environment is important to us.
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2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL) New York City (Hybrid On-Site): $138,500 - $158,100 for Data Engineer.
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Raft is building a real-time data platform for the Department of Defense (DoD), aimed at enhancing operators' awareness of critical events, including instances like the Chinese balloon and Cessna over the White House incidents.
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As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Data Engineer - Senior Associate. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Data Engineer - Senior Associate page is loaded. 1+ years of data warehousing experience (Snowflake or DeltaLake) 1+ years experience working on real-time data and streaming applications.
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Design, develop, and maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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At least 1 year of experience in big data technologies. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. 1+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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The Senior Database Engineer has full accountability to design, develop, lead and sustain rich data-driven applications, services and business servers. Hadoop development (Java, MapReduce, Hive, HBase, Pig and Flume, Storm, Kafka.
$126,500 - $159,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). 3+ years of experience in application development including Python, SQL, Scala, or Java.
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Are you a data savvy Backend Software Engineer with real-time programming and messaging experience combined with Golang development skills? As a Backend Software Engineer you'll focus on backend systems and data pipelines that require high throughput to deal with thousands of messages per second from a range of external APIs with scalability in mind.
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