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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.
$82,500 - $146,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As part of this team, you will work on diverse Big data and Streaming Data technologies such as Spark, Iceberg, Kafka, Datazone, DynamoDB, Glue and various other AWS technologies to build a scalable and robust near-real-time data pipelines and products.
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Proficiency in one or more tools of Linux, Hadoop, Hive, Spark, Storm; can quickly pick up others. The PaCI team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security and financial safety, etc.
$177,688 - $341,734 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Spark, and agile development practices.
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5+ years of experience with scripting (R or Python) and ML frameworks and libraries (e.g., caret, spark, scikit-learn, pandas, numpy, tensorflow, pytorch, keras, theano, seaborn, matplotlib, etc.
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ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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We embrace the use of open source technologies including Kubernetes, Ranger for secured compute platform and Spark, Flink, Trino, Iceberg for data processing. We embrace the use of open source technologies including Kubernetes, Ranger for secured compute platform and Spark, Flink, Trino, Iceberg for data processing.
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Experience with Spark, DremIO , DBT, Apache Arrow is a big plus. Experience with Spark, DremIO , DBT, Apache Arrow is a big plus. 2+ years of professional software development experience in at least one modern language such as C#, Java, Go, Typescript, JavaScript, or Python.
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10 years of experience in building data science, machine learning solutions using Python, Scala, Spark DataBricks, SQL or similar. Must have 8+ years of experience in building data science, machine learning solutions using Python, Scala, Spark DataBricks, SQL or similar.
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For more than a century, HNTB s spark has connected people and places, expanded opportunity, and left a lasting impact on our communities. Our immediate need is for highway designers to lead both design-bid-build and design-build projects for state and local roadway and transit agencies.
$105,065.91 - $188,983.94 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise with systems handling data at scale, specifically with big data technologies such as Apache Spark, Hadoop, etc. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books.
$230,500 - $346,300 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Responsibilities:Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
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Experience working with NoSQL data environments and tools such as Hadoop, Spark, DynamoDB is a plus. Advanced degree (MSc or PhD) in statistics, mathematics, economics, applied science or equivalent STEM degree strongly preferred.
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Databricks is seeking a Senior Product Counsel to help the Databricks legal team provide cutting-edge, practical legal advice to Databricks' engineering and product management teams as we navigate rapidly evolving global laws and regulations in big data, including data privacy, data protection and AI. This role will report to the Assistant General Counsel, Product.
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Familiarity with tools like Apache Spark or Ray is a plus. What We Need To See:BS or MS Degree or equivalent experience 8+ years of Program management experience within same or similar industries Technical Expertise: Deep understanding of cloud infrastructure, distributed systems, large-scale ML/HPC workloads, Kubernetes, Slurm, and AWS services.
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