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ON DAY-1, WE WILL EXPECT YOU TO HAVE: A minimum of 10+ years of related Industry experience as with a focus in sales, sales engineering, &/or technical product marketing, enablement, and/or enterprise software in data cloud, data warehouse, data engineering, &/or data science.
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And Spark EMR to move data into our consolidated data lake or data warehouse (Snowflake) Degree (Masters preferred) in Computer Science, Information Systems, Data Science, or related field and 7+ years of experience in data engineering, or an equivalent combination of education and experience.
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Do you have the skills to slay the data dragon: 5+ years of data engineering experience in a consumer-facing tech company (chat, social media, or UGC) - you know the ropes! We're on the hunt for a Staff Data Engineer to join our Analytics team and help us conquer product growth with the power of data Here's the scoop: You'll be a data hero, working on a variety of projects that combine data engineering and data science to make product the best it can be.
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FDB has been a core component in Snowflake's unique shared-metadata architecture since 2014, making possible Snowflake's vision to build the greatest data warehouse for the cloud. Snowflake employees must abide by the company’s data security plan as an essential part of their duties.
$235,000 - $368,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborating with 3rd party logistics service providers and data warehouse vendors. Working knowledge of ERP systems (Oracle/SAP), Business Intelligence (OBIEE), Trade data platforms (Integrichain or Valuecentric), EDI data sets (852/867), and visualization tools (Tableau) is preferred.
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IXL provides integrations to help school leaders use IXL with their preferred Learning Management Systems (LMS), data warehouse, rostering solution, and more. The broad scope of the role means you will touch almost every part of the IXL product, and need to be equally comfortable workshopping user interfaces with designers, deep diving into data transformation with engineers, or interfacing with partners like Google and Clever.
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Obtain data steward approvals for data access for various data sources, and help establish connectivity of data sources with the data warehouse and data lake.
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Develop Data Pipelines using Scala and Spark EMR to move data into our consolidated data lake or data warehouse (Snowflake) We are seeking a Senior Software Engineer to join our Data Engineering team.
$142,800 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Preferred: History or experience in Data Analytics, Data Warehouse/Lake, Real-Time/Streaming, or Business Analytics space. Position Rockset as an integral component of modern real-time data and AI stacks within developer and data engineering communities.
$120,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The platform is built on top of a cloud data warehouse platform (Snowflake). If a customer has a problem on the application layer, engineering teams can seamlessly find the root cause of the issue whether that’s a new release pushed to production from Jenkins, or an underlying database or memory issue.
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Collaborating with engineering and data science leads to improve data quality, build ing data warehouse, and delivering predictive models for market place insights and anomaly detection.
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Your contributions coupled with our top tools/services on our Data Platforms running the Data warehouse, Datalake, Data Engineering and AI platforms will play a pivotal role in advancing our organization's capabilities in harnessing the power of data.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Develop a deep understanding of the role of the developer and data engineer in building real-time search, analytics and AI applications and create tailored content that addresses their requirements and challenges.
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QualificationsEmployer will accept a Bachelor's degree in Data Analytics, Computer Science, Engineering, Business Intelligence or related field, followed by 6 years of progressive, post-baccalaureate experience in the job offered or in a systems analyst or data analyst-related occupation.
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Bachelor's Degree in Business Administration, Supply Chain, Economics, Finance, Engineering or related fields. Able to analyze data from multiple sources and communicate findings in a clear and organized manner.
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data engineering warehouse jobs in San Mateo, CA
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