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Experience in performing Design Development and deployment using Azure Services – ADF Azure Data Lake Databricks Python etc. Design and Develop the data lake data warehouse using Databricks Azure Cloud Services.
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Experience with Data Science, Azure Databricks, C# and Python based deliverables. Experience with AI/ML, RPA via UiPath/PowerApps & Embedded AI within Oracle, UKG Pro WFM or other ERP products will be considered as a strong asset.
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Experience with analytics data platforms like Snowflake, Databricks or AI/ML analytics frameworks is required. Experience with analytics data platforms like Snowflake, Databricks or AI/ML analytics frameworks is required.
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Experience with Databricks and BigQuery preferred. Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc.) Expertise with Databricks.
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4+ years of experience creating queries and analysis with data tools like MySQL, Postgres, Databricks, etc. 6+ years of experience creating queries and analysis with data tools like MySQL, Postgres, Databricks, etc.
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The job requires expertise in Databricks, a cloud-based data engineering. Work closely with Engineering and Product Management to drive the direction of the Databricks product. Contribute to Databricks SME community.
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Leverage integrations with big data frameworks (e.g., Databricks) to develop solutions. Our patented technology is based on over 11 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory.
Full-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Design, develop, validate and perform thorough functional testing of reports, data extracts, visualizations and dashboards utilizing BI and analytics tools and data sources such as, including but not limited to: On-premise and Cloud Data Sources, Oracle Server, SQL Server, Caboodle, Clarity, Tableau, Microsoft Power BI, Reporting Workbench, Radar Dashboards, Registry Framework and Data Marts, SlicerDicer, Advanced Excel Techniques, Databricks and other Analytics Tools.
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Brands such as Databricks, Broadcom, DocuSign, and Palo Alto Networks leverage Moveworks to automate support, enhance employee experience and productivity, and navigate critical business initiatives.
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Analytics Platforms (Databricks, Azure, etc.) Ability to use ETL tools (such as Alteryx) and visualization tools (Microsoft Power BI). By means of data analytics, you are expected to have an extensive level of ability and proven skills in various tools such as Alteryx, SQL, Python, and Excel in addition to data visualization tools such as Power BI. This role will allow you to combine your technical knowledge, data analytics and data visualization skills to drive highly valuable business and commercial insights to our clients.
$109,400 - $200,500 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Demonstrated experience using data processing tools, such as Airflow, Spark, dbt, Fivetran, Databricks, Talend. Demonstrated experience using data processing tools, such as Airflow, Spark, dbt, Fivetran, Databricks, Talend.
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For accelerating and driving innovative solutions at scale, Indium has developed strong intellectual properties such as teX.ai, which automates the text analytics lifecycle by leveraging ML, NLP, and Gen AI; ibriX, a pre-built accelerator for Databricks implementation lifecycle; uphoriX, a smart test automation platform; iDAF, an accelerator for end-to-end Data validation.
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Experience in handling data environments and design solutions using cloud services like Azure Data Factory, Apache Spark, Azure Databricks or similar solutions. Experience in handling data environments and design solutions using cloud services like Azure Data Factory, Apache Spark, Azure Databricks or similar solutions.
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Azure Databricks, Machine Learning Studio and ONNX. Support Model Risk Management's model validation efforts to ensure models are performing as intended. Azure Databricks, Machine Learning Studio and ONNX.
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Work with a variety of Data/ Data science platforms such as Snowflake, Databricks, MLflow, AWS Sagemaker, leveraging Python, Spark/Scala, SQL. Work with a variety of Data/ Data science platforms such as Snowflake, Databricks, MLflow, AWS Sagemaker, leveraging Python, Spark/Scala, SQL.
Full-timeExpandApply NowActive JobUpdated 10 days ago
databricks job in Glendale, CA
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