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<>•Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery <>•Experience with workflow management tools such as Jenkins, Airflow. Data Engineer (GCP/ Spark/Pyspark & Scala functional.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
$138,900 - $208,300 a yearExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Stay informed and integrate latest statistical modelling, machine learning, deep learning, recommender system and/or artificial intelligence trends to improve and enhance modelling stack and improve business metrics and customer experience.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expert level hands on experience using Databricks in at least 4 projects, creating notebooks using Scala/Python. Expert level hands on experience using Databricks in at least 4 projects, creating notebooks using Scala/Python.
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Across our engineering teams, we also use Scala, GCP, Spark, Kubernetes, Python, TypeScript, Angular, and anything else that helps us get the job done. We use Scala, in combination with large-scale data processing and open-source technologies, to build our device graph.
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Well versed with Hadoop, Spark, Cloud, Python/Scala and Java, Streaming, Kafka, Backend, J2EE. Hadoop, Spark, Cloud, Python/Scala and Java, Streaming, Kafka, Backend, J2EE. You have a proven track record coding with at least one programming language (e.g., Scala, Python.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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You are proficient in at least one primary language (e.g., Java, Scala, Python, Golang) and SQL (any variant) Ways to stand out from the crowd: Advanced programming expertise in Scala. You have extensive hands-on experience in building scalable data platforms and reliable data pipelines using technologies such as Spark, ElasticSearch, Databricks, Clickhouse, AWS Kinesis, and/or Kafka.
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Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages. Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX. Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention.
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Proficient in at least one JVM programming language such as Java, Kotlin, Scala. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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You have strong implementation experience with at least one programming language (Python, R, Java, Scala, etc. You’re experienced with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning, NLP, and Reinforcement Learning.
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Develop new pipelines using Java/Spark/Scala on AWS EMR platform and schedule using AirFlow. Passionate about working with BASH, Python and Java. Experience in running Spark/Scala programs, Java UDFs in AWS EMR platform is preferred.
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Knowledge of one or more of: Chisel/Scala, RISC-V architecture, Git/Jira/Confluence is a plus. We build and maintain our RISC-V processor subsystem IP using the Chisel hardware construction library embedded in the Scala language.
$182,750 - $247,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient knowledge of one or more statically typed back-end programming languages (Go, Kotlin, Java, Scala) Customers like Airtel, Experian, Nielsen, PayPal, Snap, Verizon Media, and Wayfair rely on Aerospike as the data foundation for the future to help them act in the microsecond moments that matter.
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scala job in Sunnyvale, CA
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