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Experience in architecting data engineering pipelines/data lakes within cloud services (AWS, GCP etc. Assist with the implementation of data migration/pipelines from on-prem to cloud/non-relational storage platforms.
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Must Have: Adept communication skills Advanced SQL Querying Programming SQL Salesforce Marketing Cloud Nice To Have: Amazon DynamoDB AWS S buckets Role and Responsibilities: Business Analysis and Data Strategy (%): Develop a deep understanding of the enterprise and marketing data landscape.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying machine learning models at scale. We are the "controller" of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this Employment Candidate Privacy Notice.
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The National Security Sector within Leidos is seeking a Data Modeling/Reshift DBA with strong systems, software, cloud, and Agile experience to support the Passenger Systems Program Directorate (PSPD) within Customs and Border Protection (CBP.
$183,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.
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Competence with AWS infrastructure-as-code solutions (Cloud Formation and/or Cloud Development Kit)Development skills desired (Python, Bash)Experience with both Linux and Windows operating systemsGet on board.
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Preferred Skills: Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Your expertise in Python, PySpark, ETL processes, CI/CD (Jenkins or GitHub), and experience with both streaming and batch workflows will be essential in ensuring the efficient flow and processing of data to support our clients.
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Experience with Infrastructure solutions including (scaling and deploying models in the cloud using AWS solutions such as Kubernetes, ClearML, Nvidia Triton, Kubeflow, Torch Serve, Argo, etc.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Additional certifications in cloud technologies (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer) are highly desirable. The ideal candidate will have extensive experience with healthcare data, data management best practices, and cloud environments like Google Cloud Platform (GCP) and AWS GovCloud.
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On our team, you will work backwards from our customers to develop AWS data solutions and migrate complex workloads to the AWS cloud. AWS Solution Architecture certification or relevant cloud expertise Amazon is committed to a diverse and inclusive workplace.
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Certification in cloud platforms (e.g., Azure DevOps Engineer Expert, AWS Certified DevOps Engineer). Experience with cloud platforms (e.g., Azure, AWS, GCP). Manage cloud infrastructure and ensure security best practices are followed.
$143,706 a yearFull-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary. This role will focus on leading the automation and components (Solr, HBase) set up and improvement for Cloudera CDP public cloud and integrate with other AWS services.
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Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, automation tools (ex. The Candidate will be responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepare and manipulate data using Hadoop or equivalent.
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Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Demonstrated experience with other non-AWS cloud services such as, Google Cloud Platform, Microsoft Azure. Demonstrated experience deploying AWS applications with AWS‚ Cloud Development Kit (CDK.
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aws cloud jobs Title: data in Ashburn, VA
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