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Data science, machine learning, optimization models, PhD 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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Implement and manage industry best practice tools and processes such as Data Lake, Iceberg, Spark ETL, Airflow, Kafka, MQTT, Timeseries Database, Trino, Kubernetes, Docker, CI/CD, DevOps.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Kubernetes, Container Orchestrations, Docker, and Cloud Native applications. Hands-on experience with any of the two CI/CD tools: Jenkins, Azure DevOps, Helm, Chef, Terraform.
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You will need a strong software engineering background in a highly secured environment and have DevOps or formal test automation, load testing or SRE experience. Strong scripting skills in languages such as Shell, Python, Ruby, Golang, Java.
$109,300 - $218,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Optional experience with Commvault & Object storage data protection use-cases, private & public cloud (i.e. Azure) based storage design and implementations, Security/Cyber Resiliency and security hardening best-practices, Kubernetes Stateful storage considerations for Containers and ethernet networking is desired.
$185,900 - $240,570 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in developing cloud and container based solutions such as Kubernetes, Cloud-Foundry, AWS, Docker. Strong understanding and experience using configuration management and CI/CD automation practices and tools ‚Jenkins, Gradle, Maven, Git, Ansible, Spinnaker.
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We are seeking a talented Data Science Engineer to join our team and contribute to the development and implementation of advanced data solutions using technologies such as AWS Glue, Python, Spark, Snowflake Data Lake, S3, SageMaker, and machine learning (M/L.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Docker, Docker Swarm or Kubernetes Backend technologies, like SQL and TimeSeries DBs. Apache Kafka, Apache Spark, Apache Storm or. Backend technologies, like SQL and TimeSeries DBs. Apache Kafka, Apache Spark, Apache Storm or Apache Hadoop.
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O Experience with workflow orchestration tools Apache Airflow). o Proficiency in containerization technologies Docker, Kubernetes). o Experience with big data technologies Hadoop, Spark.
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Take a hands-on role in helping manage the team's infrastructure, from Kubernetes to our CI/CD pipelines, to ensure an efficient delivery pipeline. In this role, the Engineering Manager will be responsible for helping to lead the overall technical vision for all things back end, implementing features, squash bugs, and making improvements across the Java Spring Microservices while leading a team of Engineers.
RemoteExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Apply original thinking and continuous improvement to processes, products, systems or services and manage change to better serve customer needsDevOps skills – Python, Docker, Kubernetes – will be added advantageLatest certification in Oracle Cloud Infra & Oracle OBIEE technologies a plus#LI-DNIDisclaimer:Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
$27.02 - $54.13ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient in Reactive Java, Spring boot, Azure Kubernetes, Container management & configuration, Dockers, Jenkins, PCI. Proficient in Reactive Java, Spring boot, Azure Kubernetes, Container management & configuration, Dockers, Jenkins, PCI.
$125,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Kubernetes, Docker with Mesos and Marathon. Docker and Kubernetes on multiple cloud providers,from helping developers build and containerize their application (CI/CD) todeploying either on public or private cloud.
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Familiarity with Big Data technologies is a big plus, such as: Hadoop ecosystems, i.e. HDFS, MapReduce, Hive and Spark. 2+ years of customer support engineering experience, providing technical support for software and environment issues for enterprise software applications: SaaS, Oracle, SAP, Netsuite, Zuora, Infor, Taleo, onsite ERP, Peoplesoft, Kronos, and/or Cornerstone.
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Should have experience working on a No SQL platform like Apache Cassandra or Mongo DB. Should have worked on Big data technologies like BigQuery, Hadoop, Hive. As database architect should have worked on at least on one SQL technology such as Oracle, MS SQL.
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