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The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
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More than 10,000 organizations worldwide including Comcast, Cond 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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Balancing the nimble spirit of a startup with the powerhouse soul of Publicis Media, Spark Foundry delivers the best of both worlds to a client roster that spans some of the world's best and most beloved brands and companies.
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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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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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Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
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Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems. Strong sense of responsibility and good at communication and teamwork- Passionate about solving complex and challenging problemsQualifications- Experience contributing to an open sourced machine learning framework (tensorflow / jax / pytorch / torchscript / mxnet / tensorrt.
$199,500 - $340,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in MySQL, Redis, Ngnix, Kubernetes, Docker, OpenStack, Hadoop, Spark, Flink, etc. Experience in MySQL, Redis, Ngnix, Kubernetes, Docker, OpenStack, Hadoop, Spark, Flink, etc. This Site Reliability Engineering(SRE) position combines software and systems engineering to build and run large-scale, massively distributed, and fault-tolerant systems.
$50 - $75 an hourFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Preferred] Experience in MySQL, Redis, Ngnix, Kubernetes, Docker, OpenStack, Hadoop, Spark, Flink, etc. Preferred] Experience in MySQL, Redis, Ngnix, Kubernetes, Docker, OpenStack, Hadoop, Spark, Flink, etc.
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Nice to have: Hands-on experience with some of the data analytics products such as Spark, Postgres, MySQL, Oracle Exadata, Teradata, Netezza, Greenplum, Amazon S3, Redshift, Athena, Glue, Glacier, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), Delta Lake, Data Lakes, Google BigQuery, Azure Synapse, Snowflake, Apache Hudi, Apache Iceberg.
$150,300 - $266,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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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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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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spark job in Seattle, WA
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