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5+ years of data engineering experience in product/support analytics and business operations. Experience in leading engineering teams responsible for external data reporting.
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Educational Background: Ideally a PhD in Epidemiology, Biomedical Engineering, Wound Healing and Tissue Repair, Dermatology, Regenerative Medicine, Biotechnology, Clinical Research, Molecular Biology, or a related field that involves the scientific study of the human body.
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Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehousesExtensive experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP.
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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), Joe Lonsdale (Palantir Founder), and Garrett Camp (Uber co-Founder.
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You'll work alongside product management, engineering, design, product marketing, data science, and content strategy to create impactful new features for Pinners and advertisers. Work exp with Companies like Google, Facebook, Instagram, Snapchat, TikTok, and Reddit.
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Experience working closely with other engineering teams and cross-functional teams like Product, Design, Sales and Platform Growth. You will be responsible for our full-stack partner integration process spanning across data and marketing integrations, external developer tooling and our partner-facing dashboard.
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Experienced in building SaaS solutions with agile principles and a strong background in cloud infrastructure technologies (i.e. Microservices Architecture, RESTful APIs, AWS, Kubernetes, Kafka, RDS, NoSQL.
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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required. You will dig into the minds of todays top practitioners in data science, artificial intelligence, and/or machine learning, to help them develop courses that are highly applicable, practical, and engaging.
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Excellent communicator - written, verbal, presentations (familiarity with Google slides and Keynote is a huge plus). Some knowledge of EU and US data privacy legislations, industry practice and how they impact business operations and product design, could identify the potential impact/risk to business according to external regulations change.
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Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
$410,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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The ideal candidate is expected to have a deep domain experience in developing and supporting financial research analytics platforms at scale, experience supporting highly technical business teams, strong cloud architecture and application development experience with a history of advancing data engineering capabilities.
$153,600 - $341,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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This position will interface directly with counsel and engineers at both established and emerging tech clients, and benefit from knowledge and experience in areas of subject matter such as artificial intelligence (AI), cloud computing, rockets and space-oriented payload delivery, automation, computer networking, encryption, graphics and animation, and computer gaming/e-sports.
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Responsibilities:Architect and implement a cloud-agnostic IaC framework using tools like Terraform, Ansible, Pulumi, or similar, ensuring seamless integration across AWS, Azure, GCP, and our private cloud within our on-premises data centers.
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Our world-class team comprises not only 3 of the roughly 10 global experts in our cutting-edge technology, but also a wealth of industry experience in MLOps from leading AI organizations such as LinkedIn, Google, Scale AI, Domino Data Lab, Microsoft, and NASA.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics.
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data engineering google cloud jobs Company: Quizlet in San Francisco, Boynton-beach, Florida
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