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Minimum 9 years of experience with big data technologies IE Hadoop, Apache Spark, and/or Databricks. Experience deploying and automating data pipelines using Azure Databricks and Azure DevOps.
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Hunters is backed by leading VCs and strategic investors including Stripes, YL Ventures, DTCP, Cisco Investments, Bessemer Venture Partners, U.S. Venture Partners (USVP), Microsoft’s venture fund M12, Blumberg Capital, Snowflake, Databricks, and Okta.
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Knowledge of Databricks development and deployment. Experience with using Xamarin and Kendo. Knowledge of Databricks development and deployment. Extensive experience in designing and implementing CI/CD pipelines in either Azure DevOps or other similar tools.
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Hands on technology experience with MOST of the following: Python, spark Azure Data Factory, Data Lake, Delta Lake, Databricks, HDinsight, Synapse, Azure stream Analytics, Azure Event hub, Azure Analysis services, CosmosDB and different Data Modeling tools.
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High familiarity with data platforms and applications such as Databricks. High familiarity with data platforms and applications such as Databricks. Applied experience of frameworks like PyTorch, Keras, Tensorflow, etc.
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Familiarity with Databricks SQL.Experience with Big Data technologiesFamiliarity with Machine Learning (MI) and Artificial Intelligence (AI) concepts and their application in data analysis. Familiarity with Databricks SQL.Experience with Big Data technologiesFamiliarity with Machine Learning (MI) and Artificial Intelligence (AI) concepts and their application in data analysis.
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We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS.
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Additionally, you will work with Databricks workspaces and interface with the Microsoft and OpenAI Generative AI Large Language Model. Additionally, you will work with Databricks workspaces and interface with the Microsoft and OpenAI Generative AI Large Language Model.
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Familiarity with Databricks SQL. Configure and administer data warehouse security settings. Proven proficiency with Microsoft Power BI for creating dashboards and reports. Familiarity with Databricks SQL.
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Preferably using AWS, Snowflake, Databricks, equivalent services. Preferably using AWS, Snowflake, Databricks, equivalent services. At Worldpay, you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology.
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