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To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse, open platforms that unify data warehousing and advanced analytics.
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Solid understanding of data modeling concepts (star schema, snowflake schema) and data warehouse design principles. Strong expertise in data modeling, developing and implementing data mart and data warehouse solutions.
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About You 5+ years experience administering MySQL, Cassandra DB, Oracle, Hana, Hadoop, or other relational, data warehouse or No-SQL database covering designing, deploying, troubleshooting, and performance tuning in a production environment.
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About Census Census is the first Data Activation platform built on your warehouse. Your Mission As a Senior Software Engineer at Census, you'll be working closely with the founders and the engineering team to create and scale a data platform to billions of records.
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Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. As a staff engineer, you will partner closely with our data science, product partners, and other ML + data engineers on the team to execute on these opportunities in order to improve the Host and Guest product experience on Airbnb.
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Translate business requirements from internal stakeholders into technical specifications for the development and validation of our enterprise data warehouse (EDW) in collaboration with Data Engineering group.
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Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. Snowflake started with a clear vision: make modern data warehousing effective, affordable, and accessible to all data users.
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Work with Data Engineering and partner teams to develop core data sets within our Data Warehouse and BI tools, ensuring they empower operational and exploratory analyses. You are an expert in SQL, data visualization, and dashboarding, with experience in tools like Tableau, Metabase, Google Data Studio, or similar.
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Implementation and operations of critical business systems, working with various departments across the organization to ensure effective data integration, visualization, reporting, and automation is in place for systems including accounting, inventory management, work/sales orders, warehouse management, lab sampling, and quality controls.
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Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (e.g. Hive). Work with large scale structured and unstructured data, build and continuously improve cutting edge machine learning models for Airbnb product, business and operational use cases.
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3+ years experience of data warehouse administration on AWS and/or Azure. Build, scale, and administer Data Warehouse, RDBMS, NoSQL and Graph database infrastructure with a focus on the performance, availability and growth needs of the company.
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We give engineers product & web analytics, session replay, feature flags, experiments, a CDP, SQL access, and a data warehouse. We want to build the data warehouse for product engineers.
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Experience with modern technology service architectural hosting, security, and risk management concerns (e.g. Data Warehouse, Data Engineering Pipeline, Data Preparation and Modeling, Advanced - Analytics, Data Services, and Consumption.
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Data engineering - work with our cloud system data engineers and our data scientists to ensure high data quality and reliability in our data warehouse. Familiarity with schema design and data warehouse architectures.
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We’ve pioneered the Composable Customer Data Platform (CDP), which helps companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations.
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data warehouse jobs in San Francisco, CA
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