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Spring boot, Microservices, Docker, Jenkins and REST API's experience. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Spring boot, Microservices, Docker, Jenkins and REST API's experience.
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Collaboratively develop solutions using the latest technologies including Typescript, Scala, Javascript, Java, etc. js, Next.js and a solid understanding of Java, Kotlin and Spring. You'll drive the front-end component and service architecture that represents the last mile of our next-generation UI platform.
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Technologies you may use include: AzureML services, Databricks, SQL, Docker, CI/CD. Technologies you may use include: AzureML services, Databricks, SQL, Docker, CI/CD. Prior experience creating and maintaining machine learning modeling infrastructure.
$147,950 - $227,850 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Data processing and transformation using Databricks (Scala/Python) Expertise in design and development of Data pipelines and ETL using ADF, Databricks to move data from relational/structured/semi-structured data from source to data lake to data warehouse, on Azure.
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Familiarity with containerization and virtualization technologies like Docker and Kubernetes. Familiarity with containerization and virtualization technologies like Docker and Kubernetes. Strong knowledge of Java, JavaScript, and SQL for Selenium automation, database verification, and testing.
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Experience with containerization technologies, like Docker and Kubernetes. Strong programming skills, preferably in languages like Python, Java, or Scala. Utilize Azure AI services to implement natural language processing (NLP) create and implement machine learning models and algorithms.
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Experience with AWS services, Kubernetes, and Docker. Experience designing, building, and maintaining robust data pipelines (ETL/ELT) using technologies like Postgres, dbt, and Airflow. Experience with AWS services, Kubernetes, and Docker.
$110,000 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of containerization and orchestration technologies (Docker, Kubernetes) Researches and designs optimal end-to-end cloud computing software solutions for cloud, cloud native, orchestration, enterprise, edge, IoT, telco cloud, service mesh, networking, microservices, and/or distributed computing.
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Maintain and improve continuous integration and deployment setups using tools like Jenkins, BitBucket, and Docker. My client specialize in cutting-edge propulsion and open architecture airborne intelligence, surveillance, and reconnaissance technologies, delivering high-stakes solutions across government and commercial sectors.
$120,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Docker and Kubernetes. 8+ years developing backend services with Java/ Scala/Python. Knowledge of Spark (java, Scala) The Principal Data Engineer will be a part of Big Data team and responsible for developing batch or event-driven data pipelines in the cloud (AWS) while improving the reliability, security, resilience, and performance of the Big Data pipeline.
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Knowledge in at least four of: GitHub, DataBricks, FastAPI, Algorithms/Algorithm design, NLP, Machine Learning, Data Mining, Docker, Linux, Process Engineering, HuggingFace, Kubernetes, AzureDevOps.
$90,000 - $200,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Docker, Kubernetes). Experience in Messaging/Stream Processing systems on Cloud such as Pub/Sub, Kafka, Kinesis, Dataflow, Flink etc., and/or Experience in Batch Processing systems such as Hadoop, Pig, Hive, Spark.
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Experience building data streams with Kafka and Container technology (Docker and Kubernetes) Show deep hands-on experience in complex system design and data pipeline and architectures, scale and performance, tuning, with good knowledge on Docker and Kubernetes.
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Experience with deployment technologies such as: Docker, Kubernetes, RKE2, Helm. Health Insurance including FSA, HSA and Tricare Supplement options. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground.
$103,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This is a fast-paced engineering role in Linux-based software-defined infrastructure and applications, covering all layers of the stack, including bare metal, virtualization (KVM) and containerization (Docker/LXC/LXD), storage (Ceph and Linux filesystems), networking (OVS, OVN and Core networking), up to OpenStack and Kubernetes, and the open source applications running on top of them.
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