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Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), Alibaba Cloud, Oracle Cloud. Technical knowledge in some of the following domains in a cloud or on-premise context: routing/switching, stateful or next gen firewalls (NGFW), distributed denial of service (DDoS) mitigation, web application firewalls, intrusion detection / prevention systems (IDS/IPS), network segregation, security information and event management (SIEM), Container and Orchestration technologies, Infrastructure as Code, and other threat and vulnerability management capabilities.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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Work with top-flight software and hardware and data science engineering talent from places like Google, Amazon, Nvidia, Palantir, and NASA JPL. Forward was founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), and Garrett Camp (Uber co-Founder.
$80,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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CCNA, CCNP, JNCIA, Checkpoint Certified, AWS Cloud, Google Cloud; and. Managing a multi-region Cloud Network that connects to Global Backbone and Data Centers to support $16B+ revenue stream.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar.
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Proficiency with data pipeline and workflow orchestration tools like Airflow, DBT, Luigi, Azkaban, and Storm. Competence in deploying and meticulously monitoring infrastructure within public cloud platforms, using tools such as Docker, Terraform, Kubernetes, and Datadog.
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Experience with infrastructure provisioning tools helping to create and manage a collection of related resources like Terraform, CloudFormation (AWS), Azure Resource Manager (ARM), Google Cloud Deployment Manager, etc.
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In-depth Cloud Platform knowledge in one of the following: Microsoft Azure, Google Cloud Platform/Anthos, Amazon/AWS, IBM Public Cloud. We are seeking individuals that possess a robust business acumen within the application integration domain and are ready to make an impact in selling our strategic set of solutions, including Event Automation, IBM MQ, IBM Aspera, IBM DataPower, IBM App Connect, IBM API Connect, IBM WebSphere/Liberty, and the Cloud Pak for Integration platform.
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Experience in leveraging DB technologies including Oracle, MySQL, Postgres, MongoDB etc and storage technologies like Amazon S3 and Google Cloud Storage is a plus. Our patent-pending innovation combines cryptography, differential privacy, and distributed ledgers, to ensure ownership, and use of consumer data, adhering to regulations by design.
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Leverage Spark, Airflow, Apache Beam, Google Kubernetes Engine, BigQuery and other tools to build robust and efficient data pipelines. Working knowledge of Google Cloud tools (compute, cloud storage, GKE, GCR, AutoML, etc.
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Linktree has partnered with some of today’s biggest names like Amazon, TikTok, Snap, YouTube, GoFundMe, Spotify, Google, Stripe, Reddit and more to help unify users’ digital spaces— and we’re just getting started.
$162,000 - $223,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience implementing and scaling production cloud systems for data-intensive applications such as automated ETL, AI/ML, streaming and batch workloads. Experience with the the vendor landscape at the intersection of cloud infra and data science and analytics tooling.
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Experience with Google Cloud Platform and dbt. Our data warehouse is built using tools like BigQuery, Airflow, and dbt. The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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Implement cloud connectivity solutions using AWS Direct Connect, Google Cloud Platform Cloud Interconnect, and OCI Fast Connect. Hosted environments such as AWS, Oracle Cloud Infrastructure, Google Compute Engine, or Azure.
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Train, tune and validate machine learning models using Tensorflow, python and GCP cloud infrastructure. Knowledge of programming and machine learning tools including Python, SciPy/NumPy/Pandas, TensorFlow, Git and cloud computing platforms.
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data google cloud jobs Company: Capgemini in San Francisco, Boynton-beach, Florida
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