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Formal training or certification on data engineering concepts and 5+ years applied experience, with addition 4+ Years of delivering hands-on Cloud Native solutions. Hands-on experience building AWS lake formation based data lake platform.
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Requires hands on experience using and administrating Databricks workspaces. Key Roles and Responsibilities As a Sr. Big Data Software Engineer, you will:Produce batch and real time data pipelines for our network and NLP based use cases for our data scientists and other developersDevelop deep domain expertise and opportunities to expand your role into additional facets of data insights including modeling, extensive cloud-based environment architecting, and software development.
$157,286 - $215,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with AWS Glue, AWS Athena, EMR, Lambda, and Step-functions with API Gateway, AWS ECS, AWS EKS, AWS Fargate, Kubernetes, AWS S3, AWS EC2, AWS Lake Formation. Hands-on working experience with Bitbucket, Terraform, Jenkins, Artifactory, DataDog, ServiceNow.
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You would need AWS infrastructure technical knowledge, Databricks platform expertise, Data Storage & Access and a sincere willingness to improve, inter-personal skills and dedicated focus on the tasks.
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Storage)Hands-on expertise in Ansible Playbook and XLRHands-on expertise on Windows and RHEL Operating Systems as SysAdminExcellent and pleasant communication skills to work with Executives and Senior LeadersCompetitive Windows SysAdmin & IIS Admin SkillsKnowledge to manage data on the RDBMS' (Includes data analytics)PowerShell scriptingAbility to plan, design, create programs, and document through AGILE frameworkApplication Container Knowledge.
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Hands-on experience with Kubernetes for orchestration and management in addition to hands-on experience with Azure DevOps (ADO) for CI/CD pipelines and project management. Hands-on experience with Docker, including creating Docker images for test environments and adeptness in troubleshooting Docker-related issues preferred.
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The position is a hands-on role responsible for protecting Westwood's digital infrastructure, sensitive data, and information systems from cyber threats. Install and use software, such as firewalls and data encryption programs, to protect sensitive information.
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Hands-on practical experience delivering system design, application development, testing, and operational stability Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Preferred qualifications, capabilities, and skills Expertise in Hive, Spark Queries and use of AWS environment (S3, EMR, EBS, RDS) is a plus.
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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Strong hands-on experience with developing and deploying machine learning based models, statistical models, data mining, and business rules. Experience with Machine Learning, Deep Learning, Data Mining, and/or Statistical Analysis tools.
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Strong IT skills including knowledge of hardware, software, networks, and data centers. The firm consistently ranks on the industry's top 25 lists and receives recognition for its involvement in award-winning projects nationwide.
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Must have hands-on on Snowflake development environment with all SQL operations. Participates in the design, development and implementation of complex applications, often using IBM Infosphere Information Server (IIS) products like Data Stage, Quality Stage on a Linux Grid environment.
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Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc. Samsung Ads - Machine Learning Engineer, Platform page is loaded.
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Knowledge and hands-on experience with of all associated EMI/EMC laboratory test equipment. Delta, founded in 1971, is a global leader in switching power supplies and thermal management products with a thriving portfolio of smart energy-saving systems and solutions in the fields of industrial automation, building automation, telecom power, data center infrastructure, EV charging, renewable energy, energy storage and display, to nurture the development of smart manufacturing and sustainable cities.
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You have 5-8+ years of hands-on experience creating and maintaining test automation and associated infrastructure. You have hands-on experience accessing the database using Java.
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hands on data engineer jobs Title: engineer in Plano, Avondale, Arizona
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