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We are responsible for crafting the developer experience for Google Cloud Platform (GCP) developers in the Data Analytics space, including BigQuery, Bigtable, and others. Solid understanding of cloud services like Azure/AWS/GCP, native controls, security center, DDOS protection, cloud firewalls, CASB, express route, cloud data storage, cloud storage, Kubernetes, data sharing related technologies, NetApp, Site recovery, CDN, MS defender, MS Sentinel, AWS EC2, AWS Guard, AWS KMS, Cloud Watch, Lambda, cloud containers, etc.
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Extensive knowledge of and experience with large-scale database technology (e.g. Databricks, Spark, Netezza, Oracle Exadata, Teradata, Greenplum, Google BigQuery, Amazon Redshift, Microsoft Synapse, etc.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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Kirkland is home to companies such as GoDaddy, Google, Astronics and EvergreenHealth, and the college is within minutes from Microsoft and Nintendo. Ability to read and verify data and prepare various materials.
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Leverage performance data, market trends, and business dynamics to operate and maintain detailed financial projections for all cloud environments such as Google Cloud, AWS, and Snowflake.
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Additional consideration for any experience with Public/Private Cloud technologies (Microsoft, AWS, VMware, Google, Rackspace, Oracle), Programming/Scripting (JavaScript, Python, BASH,PERL, Node. JS), Containers (OpenStack, Docker, Velcro), Container Orchestration (Kubernetes) and/or Automation (Ansible, Git.
$73,893 - $110,839 a yearExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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3+ years (or educational equivalent) building data pipelines using Azure data tools and services (Azure Data Factory, Azure Databricks, Azure Function, Spark, Azure Blob/ADLS, Azure SQL, Snowflake.
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Transition and Implementation: Guide the transition from Tableau/Alteryx to Power BI/Fabric, ensuring seamless data migration (including data governance and quality control), report conversion, and system integration.
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AWS is looking for a Sr. Controls Engineer to become part of a mechanical solutions engineer team, responsible for the design and continuous innovation within our rapidly expanding data center foot print.
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We are looking for a Staff Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products. As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
$185,000 - $283,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Involvement in building Infrastructure as Code (IAC)Willingness and the ability to pick up and learn new coding languagesDeep understanding of security, reliability, performance and cost-effectiveness of distributed systems on public cloud providers like Amazon AWS, Microsoft Azure and Google GCP.
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Familiarity with additional cloud services (AWS, Google Cloud) and big data technologies. Design and implement high-performance data processing pipelines using Spark Streaming, Databricks, Snowflake and other technologies to ensure data security and privacy.
$215,000 - $322,250 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Optimize data pipeline performance by leveraging Azure Databricks capabilities. Proven experience as a Solution Architect, specifically in data migration projects from oracle to Azure. With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks.
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Building end-to-end production system including query understanding and ranking to power search Utilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing. Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing or data mining.
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