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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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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) Experience building complex near real time (NRT) streaming data pipelines using Apache Kafka, Spark streaming, Kafka Connect with a strong focus on stability, scalability and SLA adherence.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our data science stack includes AWS EMR, Apache Spark (core, mllib, and streaming), Elasticsearch and raw Lucene, scikit-learn, and more. Our data science stack includes AWS EMR, Apache Spark (core, mllib, and streaming), Elasticsearch and raw Lucene, scikit-learn, and more.
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More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines.
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One or more systems like Apache Spark, Apache Hive, Apache Drill, Apache Arrow, Presto, Trino, and other related systems with a focus on the SQL capabilities of those and enabling high-performance executions.
$251,600 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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If you are looking for an unparalleled opportunity to build the next generation big data processing platform, and learn how to launch hundreds of thousands of VMs a day at scale while running thousands of Kubernetes clusters, you have come to the right place.
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Familiar with Spark, MLLib, Databricks MLFlow, Apache Airflow, and similar related technologies. Experience with analyzing large data sets using Hadoop, Spark, or related technologies is a plus.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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You know data structures, you know Python and (optionaly) Go. Our tech stack Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake TableOpen formats IceBerg, Avro, ParquetDataProc, Spark, Flink, PrestoPython, GOApache Kafka, Kubernetes, GitLabBigTable, Mongo, Redis.
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Previous hands-on experience with Python, SQL, and distributed computing systems like Apache Spark. Previous hands-on experience with Python, SQL, and distributed computing systems like Apache Spark.
$299,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc.
$255,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Cutting-Edge Technology: Work with advanced open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg. Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
$210,100 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Proficiency with data processing frameworks (e.g., Apache Spark, Apache Beam). The company focuses on short-haul, B2B logistics for Fortune 500 customers including Kroger, Walmart, Tyson Foods, Loblaw, Pitney Bowes, Georgia-Pacific, and KBX; enabling them to optimize their hub-and-spoke supply chain operations, enhance service levels and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries.
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Experience in working with SQL, no-SQL and big data frameworks, MS-SQL, Casandra, MongoDB, Apache spark, Hadoop etc., middleware like Kafka, Flume, MQTT, Redis etc. Oversee & also be hands-on in writing IAC and other automation using tools like Terraform, CloudFormation, Ansible, Python, Bash, or PowerShell.
$203,150 a yearFull-timeRemoteExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big-Data technologies. Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big-Data technologies.
$371,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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