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Experience working in digital ad platforms such as Facebook Ads Manager, Google Ads, LinkedIn Campaign Manager or other programmatic media platforms. Experience using web analytics tools and optimizing campaigns based on performance (Google Analytics.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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PREFERRED REQUIREMENTS:RF design, simulation or modeling experience using AWR or ADS simulation software. Perform Model validation tasks such as measuring circuits and back fitting to models; assist in the design and modeling of high-frequency package designs in addition to designing printed circuit board designs required for testing.
$65,000 - $104,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage). or Scala, and experience working with modern web frameworks like React, Angular, or Vue.js.
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Public cloud, artificial intelligence, machine learning, mobile, Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture Experience of Atlassian Suite (Jira, Confluence, Atlas, Jira Align, In-depth knowledge Amazon Web Services, Google Cloud Platform, or Microsoft Azure secure architecture experience Preferred qualifications, capabilities, and skills CEH, LPT, OSCP, GPEN, GXPN, and/or CompTIA PenTest.
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Added Bonus If You HaveBachelor’s degree in Information Systems, Computer Science, related discipline or equivalent work experienceExperience using Jira & ConfluenceExperience working with Adobe Analytics, Google Analytics or other web analytics data.
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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Conducting quantitative product analysis (through Excel or Google Sheets) to determine product specifications, product pricing, and product launch viability. Related: ecommerce, e-commerce, digital marketing, marketing assistant, marketing coordinator, marketing specialist, marketing analyst, product associate, product analyst, ecommerce specialist, ecommerce clerk, ecommerce coordinator, ecommerce merchandising, ecommerce assistant, ecommerce analyst, e-commerce analyst.
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Experience in native CSP orchestration stacks (e.g., Azure ARM templates, AWS CloudFormation, Google Cloud Deployment Manager) Experience with on-premises based Private Cloud and Public Cloud platforms such as Azure, AWS, and Google Cloud.
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Make an Impact Strategic PlanningDevelop and execute a cohesive and innovative global media strategy across paid search (google, amazon, etc.) Share, review and discuss weekly analytics and performance with Ecommerce and Integrated Marketing teamsShare, review and discuss monthly/ quarterly analytics and performance with Brand and Integrated Marketing teamsOwn, grow/ lead and maintain relationships with key external partners across the media landscape (Google, Meta, Amazon, etc.
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Experience with one or more Cloud platforms with a good working knowledge of availability zones, regions, security, Cloud APIs, virtual networking, and the capabilities and offerings of the various providers (e.g., Azure, AWS, and Google Cloud Platform.
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You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.
$71,000 - $157,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with Google Cloud Platform, including BigQuery, Dataflow, and other relevant services. Strong knowledge of big data technologies such as Apache Spark and Databricks. Hands-on experience with Google Cloud Platform, including BigQuery, Dataflow, and other relevant services.
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Minimum of 2 years of experience utilizing DevOps within private cloud and public cloud platforms like Microsoft Azure, Google or Amazon AWS cloud services or equivalent. Minimum 4 years of experience with other DevOps tools, such as Github, Jenkins/GitHub Actions, Artifactory, Ansible/Octopus Deploy, AppDynamics, Splunk or equivalent.
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Experience with cloud based data services offered by Azure, AWS and Google. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. They enjoy the challenges of consulting and thrive to knock the socks off of clients.
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