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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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We are seeking a Software Enginee r to build and optimize our data platforms leveraging AWS and key technologies like CDAP, EMR, Java Spark, Snowflake, and Databricks. Work with data scientists to optimize data workflows and models on Databricks.
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Experience with Snowflake, Databricks, and GCP or Azure. Build data integration flows to migrate large datasets into Snowflake data warehouse. 5+ year’s experience in backend development or data engineering.
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Proficient in cloud computing technologies such as Azure, Databricks, AWS, Google Cloud Platform. BS in Computer Science, Data Analytics, Data Science, Information Systems, Information Technology, Mathematics, Electrical Engineering, Computer Engineering, or similar technology-related degree.
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The Data Scientist II is proficient in building algorithms, data modeling, and building data-driven solutions that solve customer business problems. The Data Scientist II support prototypes and scalable production solutions to help customers make data-driven solutions.
$144,024 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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100% Remote Employment Type: Full-time Summary The Data Scientist II is proficient in building algorithms, data modeling, and building data-driven solutions that solve customer business problems.
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Proven experience in data engineering, specifically with Microsoft Azure SQL Database, Azure Data Factory and Databricks. Experience with master data management and data governance processes and program.
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Utilize Databricks for big data processing and streaming analytics. Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. At Tecton , we solve the complex data problem in production machine learning.
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Solid understanding of data warehousing concepts and data modeling principles, preferably with familiarity in S3, Athena, Databricks, and Oracle. Design and develop reports, dashboards, and data visualizations using multiple reporting platforms (primarily DOMO.
$103,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Has experience contributing production code leveraging Cloud Data Platforms such as AWS Redshift, Snowflake, or Databricks. Cloud Data Platforms such as AWS Redshift, Databricks, and Snowflake.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Experience working with SSIS for data integration and Databricks or Scala for data manipulation. The files will be loaded into an Azure SQL server database using an SFTP server, then integrated with PowerBI for reporting using SSIS and Databricks for integration and data manipulation.
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Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.
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databricks job Title: data engineer in Pikesville, MD
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