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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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More than 10,000 organizations worldwide - including Comcast, Cond 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.
$182,400 - $247,000InternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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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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Help the Data Analytics & Data Science team apply and generalize statistical and econometric models on large datasets. Experienced with ETL/ELT in Databricks, with Medallion architecture and with Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT.
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Resume Keywords: Azure, Spark, Delta Lake, CI/CD, ABS, Databricks, PySpark. Experience with Databricks platform on Microsoft Azure. Strong Azure and Databricks. Working knowledge of unity catalog and data governance principles.
$83.33 - $93.33 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Required skills: Batch, real-time and Event processing, Databricks, Spark, ADF, Logicapps, Event Hub, AZ SQLDB, AZ Functions, Tableau, SSIS, CI\CD, Azure Pipelines. We are seeking a highly skilled Lead Azure Databricks Engineer with extensive experience in Databricks Delta Live Tables and Unity Catalog.
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Modern Data Stack experience (Snowflake, Synpase, Databricks, Redshift, DBT, and/or Airflow) 10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science.
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Must Have skills: MDM, Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Data Modeling, Snowflake, Databricks.
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Experience with data science tools such as Python, R, PyTorch, TensorFlow, Kera's, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Sage Maker, Databricks, and Dataiku.
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Proficiency in data engineering tools such as Databricks, Apache Spark, Delta Lake, MLflow, and SQL. Work with data engineering platforms and tools such as Databricks, Apache Spark, Delta Lake, MLflow, and SQL.
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Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements. Strong experience with Databricks and Apache Spark for data processing and analytics.
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Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks. Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
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This position requires:A bachelor’s degree in computer science, business or equivalent experience and eight or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks. Experience in Cost optimization (AWS/Snowflake/Databricks) is a huge plus.
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databricks data science jobs Title: data Company: Insight Global
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