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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$419,750 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Must have skills: RedHat OpenShift Container Platform(Operators, OpenShift Data Foundation, OpenShift Pipelines, Image Registry) Kubernetes, Docker, Podman, Elasticsearch/PostgreSQL-DB Administration, Jenkins, GitLab, Kafka, A10 Networks Load Balancing.
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Experience in the following next gen tools and technologies: Hadoop, HIVE, Databricks, Python, Spark, Kafka, Dremio, Azure Platform, NoSQL, HBase, Snowflake. We are currently seeking an Azure Data Engineer to join our team Remote based in the United States (US.
$60 - $75 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with building modular, extendable, and distributed systems eg Apache Kafka, Hazlecast, Kubernetes, Microservices Architecture, Apache Hadoop, Elasticsearch, Apache Cassandra, OpenStack, Service Meshes (e.g., Istio), or Apache Mesos.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Agile Scrum, Jira, Bitbucket, Jenkins, Splunk, Kafka, Hadoop, Reports, Selenium, Microservices and APIs, Deployment automation, unit test automation, CI/CD tools, OpenShift Containter. Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack.
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This position will work alongside advanced security researchers, data engineers, and malware reverse engineers, and data scientists to tackle evolving threats accelerated by technologies like our Hadoop ecosystem (HBase, HDFS, Spark, Kafka, AirFlow), Elasticsearch and Redis clusters, Docker using Docker Swarm, malware environment, and a network of honeypots.
$193,617 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Experience with Apache Airflow, Hive, Snowflake, Kafka, Python.
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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
$151,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience designing, building, and supporting real-time and batch data pipeline and analytical solutions with Hadoop (Hive, Kafka, Spark, Spark Streaming, HBase) and Teradata, ETL tools like Informatica, Talend, Data Fusion, Python/Java, Oracle/Exadata.
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1+ years’ experience in Big Data Distributed ecosystems (Hadoop, SPARK, Unity Catalog & Delta Lake) 1+ years’ experience in Big Data Distributed systems such as Databricks, AWS EMR, AWS Glue etc.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Hands-on experience with big data technologies (such as Hadoop, Spark, Kafka). As the Technical Lead Data Engineer, your primary responsibility will be to spearhead the design, development, and implementation of data solutions within Azure, aimed at empowering the organization to derive actionable insights from intricate datasets.
$85 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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hadoop kafka jobs Title: principal software engineer Company: Cardlytics
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