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Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Containers: Docker, Kubernetes (k8), OpenShift, cloud storage, flannel. Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase.
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Experience with data processing engines like Apache Spark. To do so, we leverage our internal data platform built on top of AWS, S3, Spark, Trino using open source data science tools such as Jupyter notebooks, Pandas, Bokeh, Superset, and Airflow.
$104,000 - $348,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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4+ years of experience with big data technologies such as Azure Databricks and Apache Spark. microservices (e.g., Docker, Kubernetes) 4+ years of experience with big data technologies such as Azure Databricks and Apache Spark.
$125,800 - $188,600 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Our Technologies stack: Python, Spark, Airflow, DBT, Kafka, AWS, Docker, Kubernetes, MongoDB, Redis, Postgres, Elasticsearch, and more. Familiarity with Apache Airflow - Advantage.
$133,224 - $199,836 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in building big data solutions using Java, kafka messaging, apache spark, solr and Cassandra no sql using cloud based deployment strategy. Working with cloud services like COSMOS, GCP, or Azure, and container technologies such as Docker on Kubernetes.
$143,000 - $286,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Minimum 7+ years of experience in Apache SOLR, Spark, Zookeeper, Fusion, Java Spring Boot/JavaScript (Node JS, Express) Having strong knowledge and hands-on experience in Apache SOLR, Spark, Zookeeper, Fusion, Building Enterprise applications using Java (Spring Boot, Hibernate) and JavaScript (NodeJS, ReactJS) Technologies.
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Enable/Support platform to do distributed data processing using Apache Spark and other distributed / scale technologies. Deploy Application in Azure Kubernetes Service using GitLab CICD, Jenkins, Docker, Kubectl, Helm, Terraform and Manifest.
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Docker/Containers/Kubernetes => 6/10 experience. Good understanding of distributed system like Spark and Kafka - Good to Have => 5/10. Build/Deploy AI/ML platform in Azure with open-source applications (Argo, Seldon) and/or cloud/SaaS solutions (Azure ML, Databricks, Truera.
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ML tools experience such as Argoworkflow/ AzureML /MLFlow/Databricks/etc. Dexian is seeking a Machine Learning Engineer/AI Engineer for an opportunity with a client located in San Francisco, CA. AI tools experience such as Generative AI, ChatGPT, MetaGPT, LLM, Llama 2 etc - Deployed & worked on some of these tools.
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Knowledge of distributed computing technologies such as Apache Spark, Hadoop, or Dask, and experience with containerization and orchestration technologies such as Docker and Kubernetes.
$150,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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DESIRED EXPERIENCE•Agile S/W Development is a plus•Experience with Apache Spark and Redash using Databricks is a plus•Experience with Docker, Kubernetes and Pipeline Technologies such as Gitlab CI is plus•Experience with the following technologies: Java, REST, Web Services, HTML, XML/XSL, JSON, MVC, JavaScript, J2EE, Git or GitLab•Ability to learn new applications and technologies to accomplish daily tasks•Experience with cryptologic systems•Excellent communication and writing skills.
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Experience with devops tools - e.g., Linux, Ansible, Docker, Kubernetes. In the Abuse Testing & Engineering group, we push battery systems to their limits and beyond using specialized equipment to apply electrical, mechanical, and thermal stresses.
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Proficiency in Python, ideally with experience building data pipelines and working with distributed computing frameworks like Apache Spark. Experience with containerization and orchestration technologies such as Docker, Kubernetes, or ECS.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Big Data technologies: Kafka, Apache Spark, MapR, Hbase, Hive, HDFS etc. Back end web-services: Java, Spring Boot, Python, Kubernetes, Docker. Machine Learning: TensorFlow, PyTorch, Spark ML/MLib etc.
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3+ years of experience with big data frameworks (Amazon EMR, Apache Spark) Work on public cloud infrastructure, Big data technologies, 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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