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Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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Design & implementation of AWS cloud infrastructure using best practices and industry standards by working closely with internal & external stakeholders like Information Security, Cloud Infrastructure, Data Engineering teams, etc.
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Collaborate closely with security, operations, development, networking, SD-WAN, and data center engineering teams to ensure smooth integration of IaC solutions with existing infrastructure and processes.
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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 Today - UpvoteDownvoteShare Job
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You'll also become an expert on modern development trends, especially the cloud-native stack, devsecops, Gitops, and modern data-engineering pipelines. Construct applications from services you build yourself (we use node, Kubernetes, and Terraform) and integrate with (e.g. Firebase, cloud storage, Snowflake) to automate permissions management across disparate tech stacks.
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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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At present, clients range from ‘deep tech’ – data analytics, AI/ML, storage, cloud infrastructure, cybersecurity – to fintech, health tech and climate tech. Reporting chops using combination of Google Analytics (GA4), Excel, SEMrush, Hubspot, Google Data Studio, Pardot (Salesforce), Marketo, Tag Manager, (roughly in this order of importance.
$95,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data visualization tools such as Tableau, MixPanel, Google Looker. Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue,AWS Lambda.
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Extensive experience with batch-processing systems, data pipeline and workflow management tools (e.g. Luigi, Airflow), containerized applications and container based orchestration environments (e.g., Docker, Kubernetes), and infrastructure as code, such as Terraform.
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The Risk Data Science team is looking for a Senior Staff Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various credit risk areas at SoFi. The Senior Staff Data Scientist will work closely with Credit Risk, Product, Engineering teams to design solutions for loss mitigation and loss forecasting.
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Work in collaborative team environment including Product, Design, Engineering and Research to shape how we bring together Cash App and Square. You’ll work closely with product management as well as other cross-functional partners around our new Local initiative which aims to bring together the Cash App and Square ecosystems to engage customers in their local communities.
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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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The Senior Staff Engineer, Product Management - Business Applications will ensure high-quality Drug Development Business Applications support. Experience is required in technology strategy, product design, engineering, platforms, data architecture, and analytics.
$226,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc.
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