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Experience with Google digital marketing tools (Google Merchant Center, Google Advertising (PPC), Google Analytics, Google Webmaster Tools). Maintain product listings in Google Merchant Center, indexing, sitemap, and analytics.
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Experience across platforms, with depth in 2 or more: Google Ads, Meta Ads. Microsoft Ads, Programmatic Ads, Amazon Ads, TikTok Ads, Snap Ads, Pinterest Ads, LinkedIn Ads, Marketplace, Criteo, StackAdapt, etc.
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Expertise in analytics reporting tools such as Adobe Analytics, Google Analytics, Google Trends, Looker and CrowdTangle. Our brand, business development, ad sales, programming, content development, production publishing and audience development teams collaborate and thrive in an environment that values diverse backgrounds, talents, skills and strengths; encourages creativity and experimentation; and recognizes and rewards the courage it takes to step outside comfort zones in the quest to grow our business.
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Competent in the following platforms: Word, Excel, Outlook, Gmail, Google Drive, Google Calendar, PowerSchool. The Milwaukee Rescue Mission is a 501 (c)3, charitable, non-profit church, Christian organization.
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Apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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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) The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google’s Vertex AI.Own and drive extensive technical efforts across multiple teams, ensuring projects are executed seamlessly and meet high standards.
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Working knowledge of computers and software related to instructional area including MS Office/Google Suite, data systems, mobile technologies, web conference tools, and social networking; and knowledge of, or willing to learn, Blackboard or similar learning management system (LMS) preferred.
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Experience in cloud-native application development across platforms like Azure, AWS, or Google Cloud. Proficiency in Classic ASP, HTML/CSS, JavaScript, Java, JNI, jQuery. Understanding of LDAP, remote SQL, and multi-site database systems.
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3+ years experience using web analytics and SEO tools (e.g. Google Analytics, Adobe Analytics, BrightEdge, SEOMoz, etc. Family benefits (parental leave, fertility coverage, adoption, and surrogacy assistance); Employee Assistance Program (behavioral health, family counseling.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Proficient in Microsoft Office, Google AdWords, Bing Ads and Google Analytics. Manage keyword and Product Listing Ads (PLA) performance across multiple product lines and business units.
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2+ years' experience with cloud services like AWS, Azure, or Google Cloud Platform (GCP), including experience with their deployment and orchestration tools. 2+ years' experience with version control systems (e.g., Git), continuous integration/delivery tools (e.g., Jenkins, Travis CI), containerization (e.g., Docker), and infrastructure automation (e.g., Ansible, Terraform.
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The ideal candidate will possess experience with cloud platforms such as AWS, Azure, or Google Cloud, and demonstrate a thorough understanding of cloud architecture, DevOps practices, and infrastructure automation.
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