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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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Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 1500 employees. 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.
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Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-drivenRepresent Databricks at academic and industry conferences & eventsWhat we look for:9+ years of experience in Data Security or related areas and expertise in two or more of the following.
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At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.
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The candidate will work on building, scaling, and monitoring highly complex BigData platform on Databricks, Snowflake DB and ElasticSearch cloud. · Experience as the Databricks account owner, managing workspaces, Unity Catalog, audit logs, and high-level usage monitoring.
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Lead the migration process from Oracle Exadata to Azure Databricks using Informatica IDMC. Strong expertise in Oracle Exadata, Azure Databricks, and Informatica IDMC. Optimize data pipeline performance by leveraging Azure Databricks capabilities.
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Design, implement, and optimize data solutions using DataBricks for data analytics and machine learning applications. The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Databricks Certified Developer or Databricks Certified Data Engineer certification. · Proven experience as a Data Engineer with a focus on Databricks. · Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Database / Warehouse: PostgreSQL, DynamoDB, Databricks Unity Catalog. Experience with AWS + Databricks Unity Catalog / Model serving. Distributed Compute: Spark/Databricks. Develop and Enhance ML Models: You’ll design, build and deploy sophisticated machine learning models that improve our credit decisioning, fraud detection and other processes.
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Experience with Databricks Unity Catalog. 2+ years experience implementing data solutions on the Databricks Data Intelligence platform, to include Delta Lakes. Experience with Databricks.
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Lead ML Projects from Ideation to Production: Take ownership of machine learning projects from the initial concept through to deployment and continuous improvement. Innovate in machine learning lending solutions: By leveraging your deep expertise in machine learning, you will contribute to the development of cutting-edge lending solutions that revolutionize access to credit for small and medium-sized businesses (SMBs.
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Experience as Databricks workspace admin, managing workspace users and groups including single sign-on, provisioning, access control, and workspace storage. The candidate will work on building, scaling, and monitoring Data science and ML hosting platform based on Databricks.
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Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP) We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across data modernization, data ops, AI, and ML. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently.
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We are seeking a Databricks Data Engineer. About the job Databricks Data Engineer. Deep understanding of one or more of the big data computing technologies such as Databricks, snowflake.
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databricks job Title: machine learning engineer Company: Advantis Global
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