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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.
$313,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Serve as a solutions-oriented business partner by providing pragmatic, sound legal counsel to internal Databricks clients and our growing customer base based on your understanding of Databricks' technology, product portfolio, information security architecture, and data privacy/compliance policies.
$229,600 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Databricks is the data and AI company. As Legal Counsel you will be joining a team of legal professionals responsible for reviewing and negotiating customer agreements and providing legal support for Databricks revenue-generating activities.
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Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. Thousands of organizations worldwide - including Comcast, Condé Nast, Nationwide and H&M - rely on Databricks' open and unified platform for data engineering, machine learning and analytics.
$247,000InternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Sr. SRE ( Site Reliability Engineer) - Data DevOps/ DataOps/ No- SQL, Kafka , Databricks, Kubernetes, Kafka , Terrafoam. Databricks Notebooks – There are a lot of jobs on Databricks – experience with Databricks to know how a notebook is created and run - run queries against the database and finding discrepancies and perform fixes.
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Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development.
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Experience in developing Spark applications using spark-SQL in Databricks for data extraction, transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patterns.
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Build scalable data pipelines using varieties of tools, including Qlik Replicate, Five Tran, Databricks, etc. Demonstrated experience with Databricks, Microsoft Azure. Working knowledge of Azure Databricks.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
$165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum of 5 years of experience in data engineering, specifically with extensive use of Power BI and DataBricks. The successful candidate will be responsible for managing the Power BI platform, advancing data modeling in DataBricks, and leading a team of data engineers and visualization developers.
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Qualifications Requirements: Bachelor's degree inputer Science, Information Technology, or a related field Solid experience in Databricks platform, data engineering, and using Delta Live Tables Experience with medallion architecture in a data lake environment Proficiency in Snowflake data warehousing platform Strong understanding of ETL workflows and data pipeline automation.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure SQL, Cosmo DB, Databricks and other legacy databases.
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The ideal candidate will have extensive Microsoft/Azure data services and Databricks technology experience. Design, develop and maintain data pipelines using Databricks and Microsoft Azure services.
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Experience with data modeling, ETL/ELT development, data integration and orchestration techniques Experience with designing and developing end-to-end data and analytics solutions leveraging Azure Data Lake, Azure Databricks, and Data Factory Nice to Have: Experience with designing scalable data analytics architecture to implement advanced analytics solutions, including machine learning and AI, to extract actionable insights from data.
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Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
$205,000Full-timeExpandApply NowActive JobUpdated Today
databricks job Title: data Company: Insight Global
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