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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.
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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.
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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.
$313,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our client is a leading proprietary trading firm that is seeking a Quantitative Software Engineer to join their Front Office Data Engineering team in London. Quantitative Software Engineer - Data Engineering.
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Senior Data Engineer - Azure, Databricks, Python, Synapse, Azure Data Factory, Eclipse. Technologies like Azure Data Factory (ADF), Databricks, Delta Tables & Synapse will be used as the team oversees Eclipse data transformation & ongoing future development.
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Extensive experience in data engineering with a strong focus on Snowflake and Databricks. Stay up to date with emerging technologies and best practices in data engineering, particularly in Snowflake, Databricks, and AI/ML.
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Sr. SRE ( ) - 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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NAVA Software solutions is looking for a Lead Data Engineer. Comprehensive knowledge of platforms and services like Databricks, Dataiku, and AWS native data offerings.
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Develop software systems in an Agile development environment and on AWS cloud-based platform using Python, Spark, Scala, Databricks, NEO4J, and AWS. 3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.
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The Databricks Engineer will be a critical member of our Enterprise Data Team reporting to the Chief Software Architect. Azure certifications such as Azure Data Engineer Associate or Databricks Certified Data Engineer Associate preferred.
$147,800 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Data Engineer Associate) are a plus. Monitor and audit Databricks environments to ensure compliance with data governance policies and regulatory requirements.
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We are seeking a dedicated and driven Data Engineer with solid experience in Azure Data Platforms and Databricks. Expertly use Azure data services (including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and others) to extract, transform, and load (ETL) data from various sources.
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The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
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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.
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NOTE: THIS POSITION IS TO JOIN AS W2 ONLY. Data Engineer with Databricks Location: Remote Duration: 6+ Months Daily Responsibilities: Design, develop, test, deploy, maintain, and improve software applications and services.
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databricks software engineer jobs Title: data engineer Company: Comcast Corporation
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