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Familiarity with cloud data storage solutions such as AWS S3, Google Cloud Storage, Azure Blob Storage, AWS Redshift, Google BigQuery, Azure SQL Data Warehouse, or others.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, BigQuery, Dataprep, Composer, etc) Run points on whole projects by recommending, prototype, build and debug data infrastructures on Google Cloud Platform (GCP) with other principal and senior engineers within the team, and to mentor less experienced Data Engineers.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Google Cloud accelerates every organization’s ability to digitally transform its business and industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
$305,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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3+ years of experience with Cloud columnar databases (Snowflake, Google BigQuery, Amazon Redshift, etc) As a staff engineer on our EDA Engineering Team, you will be pivotal in building and supporting significant aspects of our data services and pipelines, that powers the next generation reporting and analytics platform.
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Keyword: Cyber, Security, Compliance, I PCI, NIST, ISO, Compliance Manager, Google VPC, AWS Cloud, CISA, CISM, CISSP, AWS, Security Administrator. Experience with AWS, Google Virtual Private Cloud, Microsoft cloud services, OneDrive, SharePoint, and Visio, preferred.
$90,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Experience with Google Cloud Platform and dbt. 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.
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And cloud data warehouses such as RedShift, Snowflake. Cloud Computing Platforms: Familiarity with cloud computing platforms like Amazon Web Services (AWS) and proficiency in leveraging cloud-based services for data storage, processing, and analytics, such as Amazon S3, EC2, and Lambda.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience working with SQL or Python Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Understanding or proven experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Applying experience with cloud platforms, such as AWS, Google Cloud, or Microsoft Azure.
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Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage). Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Or Scala, and experience working with modern web frameworks like React, Angular, or Vue.js. Experience in developing and Maintains application on Palantir Foundry Platform. Participate in architectural discussions, technology evaluations, and solution design sessions to shape the long-term technical vision of Palantir's products.
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Understanding of cloud computing concepts and experience with cloud platforms like AWS, Azure, or Google Cloud Platform. 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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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake. The ideal candidate for this role will have a background in building large-scale, data-intensive applications with SQL and NoSQL, high-throughput and responsive internal and external APIs for data products, and experience in user experience design.
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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), and Garrett Camp (Uber co-Founder.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
Full-timeExpandApply NowActive JobUpdated 28 days ago
data google cloud jobs Company: Capgemini in San Francisco, CA
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