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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.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our team is responsible for building data and analytics services to improve our Motion Planning team’s Machine Learning Platform. Collaborate closely with ML modeling teams across motion planning, systems engineering, and other autonomy groups to define ML workflow requirements and build critical data services.
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Job Title:VP, Data Center Power ProcurementCompany:PrologisA day in the lifeWith rapid increase in Artificial Intelligence (AI) and associated need for data center development, Prologis is developing a strong pipeline of real-estate properties globally for our customers many of which are the hyperscalers.
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The Architect will handle and manage assigned design projects consistent with the planning and design goals and standards as established in the project management plan (PMP) of the Veterans Affairs Hospital in Albuquerque, NM. You will also be responsible for ensuring the completion of the design work and participating in planning the phases to prevent disruption and help minimize overall costs.
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More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Architect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools to support critical operational processes, analytical models, and machine learning applications.
$153,600 - $341,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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Wells Fargo is seeking an Artificial Intelligence Solutions Consultant - Conversational Architect to plan and implement advanced conversational experiences on our Virtual Assistant platforms that will reach over 30 million Wells Fargo customers.
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This job may involve working in areas such as Investigations, Information Governance and Electronic Discovery (eDiscovery) related to the collection of computer and digital data, digital forensics, cyber investigations, data management, privacy and security, document review consulting, and engagement project management as part of a rotational program that provides exposure to all parts of the business.
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With preliminary direction from the project architect or project manager, analyzes and develops approaches to the creation and modification of architectural documents, elevations, sections, details, etc.
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Own data engineering infrastructure to drive and enable statistical, optimization, AI/ML models and usage. We're looking for an experienced Sr. Data Engineer with strong data analytics and engineering skills to join our small and creative team.
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A minimum of 5+ years hands-on experience acting as a Data Engineer, BI Analyst or Data Scientist. Adept in extracting, loading and leveraging data in data warehouse, transactional databases, object stores & API based environments.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience working with AWS infrastructure (Elastic Container Service, Terraform, Relational Data Store, etc.) Experience with LLMs and ML/data is a plus. We've been featured in the Harvard Business Review and are working with world-class companies like Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Experian, Bristol Myers Squibb, and more.
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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.
$170,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience as a Salesforce Architect in a SaaS environment. Design complex data models to meet business needs and ensure usability within Salesforce and in downstream applications.
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data architect jobs Title: architect Company: Accenture in San Francisco, CA
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