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Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client.
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Job DescriptionSummary:The Enterprise Cloud Team is looking for a Senior Cloud Engineer with hands-on Microsoft Azure cloud engineering experience and required Databricks infrastructure, performance, hands-on.
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5+ years hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef, Scala) 5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka.
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Extensive hands-on experience with Apache Spark, Kafka streaming for large-scale data processing and analytics. Good experience and understanding of operationalization of large scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Hands-on Experience in using cloud-based technologies throughout data and machine learning product development. · Hands-on experience with code versioning, automation and workflow orchestration tools such as Github, Ansible, SLURM, Airflow and Terraform.
TemporaryExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Knowledge of control tower and hands on experience working landing zone concepts is essential. Hands-on experience with AWS services and technologies. Role: Sr AWS Cloud Engineer.
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Hands on experience with the following: Storage, Ethernet, Wireless Networks, Citrix, DNS, DHCP, and LAN environments. Bowman Williams is a national specialized staffing firm for Cloud Service Providers and Managed Service Providers.
$75,000 - $85,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Should have a penchant for quick solution depiction in response to a proposal and must be a quick mover to take up challenges & deliver on the flyResponsibilities:MUST Have - Cloud Assessment Concepts,AWS/ Azure Services design , Key features or all AWS/ Azure components , experience in as-is system understanding ( Network,Storage,VM,Middleware etc.
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Total of 8-12 Years of experience in designing and implementing Integration solutions around Microsoft platformDesign and Develop System integrations using Microsoft azure integration services to connect a portfolio of on premises, Saas and cloud hosted applicationsExcellent communication and presentation skillsAt least 2+ years of hands-on experience in designing and implementing Azure-based systems using below services.
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Must possess hands-on experience with tools such as Databricks, Dataiku, ETL technology, programming language (SQL, Python), and AWS cloud platform (S3, Data Lake), Data Lake, Data Warehousing, and analytics information domains.
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Hands-on experience with at least several of the following technologies: public/private cloud (AWS, Azure, GCP), virtualization, AI/ML, IoT, micro-services, data warehousing and ETL.
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Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience with Snowflake utilities such as Snow SQL, Snow Pipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures. Able to provide architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Including hands on experience with productionized data ingestion and processing pipelines using Python, Databricks, SnowSql. Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Hands-on experience with Google Cloud Platform (GCP) and its services such as Compute Engine, Cloud Storage, Kubernetes Engine, Cloud SQL, Cloud Functions, etc.
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