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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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Proficiency in Azure cloud services, including AzureML, Azure DevOps, Azure Kubernetes Service (AKS), Azure Databricks, and other relevant Azure services. Having ML-related certifications can be a plus, such as Microsoft Certified: Azure AI Engineer Associate or Databricks ML Engineer.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with data warehousing platforms (e.g., Databricks, Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark). Engineer production level ML workloads for customers using Databricks platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOps.
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Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python. Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow. Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python.
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4+ years of experience with Big Data technologies including Spark/Databricks, Hadoop, and varying types of Azure Storage. 8+ years of data engineering or data analysis experience using core data tools as Azure Data Factory, SSIS, and Apache Airflow and use of languages such as SQL, Python, R, and Excel.
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Technical Skills : Azure Databricks, Azure ADLS, unity catalog, Azure SQL. Experience with Azure databricks on unity catalog. Hands on development with Azure Databricks platform.
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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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Comfortable handling, implementing, and using audit and compliance management tools (Alation, BigID, Immuta and Anomalo) in industry forward data warehouses (Snowflake, Databricks). We deliver experiences to consumers through our Disney's Parks & Resorts worldwide, Disney Cruise Lines, and Disney Vacation Club. We are responsible for the end-to-end digital and physical Guest experience for all technology & digitally led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business, as well as other initiatives such as Hey, Disney.
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We're hiring a skilled DataBricks Implementation Specialist to design, deploy, and manage DataBricks environments for optimal data processing. Design, deploy, and maintain DataBricks clusters for data processing, analytics, and machine learning.
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
$148,800 - $248,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Seeking candidates with previous hands-on leadership experience, cloud and data marketplace solution design and delivery experience at scale (Snowflake, Databricks, Salesforce, Google/Amazon/Microsoft marketplaces), and external vendor oversight.
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Expertise with scaling pilot machine learning solutions to a large scale production environment using databricks. Expertise with scaling pilot machine learning solutions to a large scale production environment using databricks.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Build and maintain data pipelines and ETL processes using tools such as DBT Labs and Databricks. Implement robust security and compliance measures in Azure, Snowflake, and Databricks to protect sensitive data and meet regulatory requirements.
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Experience with Snowflake, Palantir, Databricks (a plus) Experience with Snowflake, Palantir, Databricks (a plus) Proficiency in Python, R, Tableau, PowerBI, SAS, and other BI software. Bachelor s degree in a quantitative field (e.g., finance, mathematics, economics, statistics, computer science, electrical engineering, physics, Marketing Information Systems) or equivalent experience.
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Experience working in EDW cloud technologies - e.g. Snowflake, DataBricks, etc. Experience working in EDW cloud technologies - e.g. Snowflake, DataBricks, etc. 9+ years of hands-on data scientist mathematical predictive modeling experience in a business environment or equivalent.
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databricks job Company: Eleven in Dallas, TX
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