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1- 3-year minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake. Specific experience with Data Warehouse/Data Lake configuration and development using Databricks platform.
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Experience using Databricks to pull and manipulate data from cloud based data lakes. Experience using Databricks to pull and manipulate data from cloud based data lakes. Expertise in data visualization best practices, storytelling through data, and visual design of data.
$152,500 - $206,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expert level Knowledge of Cloud platforms such as: AWS, Azure, and related platforms Snowflake, Databricks, etc. Expert level Knowledge of Cloud platforms such as: AWS, Azure, and related platforms Snowflake, Databricks, etc.
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Data Engineering experience with Databricks is a must (certifications ideal but not required) A top Databricks consultancy is looking for a Senior Engineering Manager to join their Data and Analytics team.
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Required Technical Skills/Competencies - Databricks, SQL, Python, Snowflake, Relational Database Structures, Data Analytics/Data Mining Tools. Required Technical Skills/Competencies - Databricks, SQL, Python, Snowflake, Relational Database Structures, Data Analytics/Data Mining Tools.
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Experience with technologies like PySpark, Databricks, Azure Synapse, Delta Lake. Experience with technologies like PySpark, Databricks, Azure Synapse, Delta Lake. CVS Health can provide a request for a reasonable accommodation, including a qualified interpreter, written information in other formats, translation or other services throughColleagueRelations@CVSHealth.comIf you have a speech or hearing disability, please call 7-1-1 to utilize Telecommunications Relay Services (TRS.
$115,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work closely with the Data Engineering team to extract and transform data from Databricks data lakes and SQL endpoints, creating intuitive and insightful reports. Familiarity with creating reports from data lakes built in Apache Databricks.
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Demonstrated knowledge of data warehousing concepts and exposure to one or more Business Intelligence toolsets and database platforms: AWS or DataBricks, Oracle/SQL Server/Teradata, Cognos/BO, or SAS/R. Must be proficient with analysis in Excel including but not limited to Pivot, Vlookup, trend analysis etc.
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DIRECTV WAGE ZONES: $96,140 - $174,570 Low (N1): $96,140 - $144,210 Mid (N2): $101,200 - $151,800 High (N3): $111,320 - $166,980 Top (N4): $116,380 - $174,570 Click HEREto review information on some of the largest Designated Market Areas (DMAs.
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Experience with analytics data platforms like Snowflake, Databricks or AI/ML analytics frameworks is required. Experience with analytics data platforms like Snowflake, Databricks or AI/ML analytics frameworks is required.
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Experience working in an Azure-Databricks cloud environment preferred. Experience with data visualization tools like Tableau, Power BI, or QlikView to create interactive dashboards and reports that convey insights effectively.
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Develop application using Python/PySpark, and Databricks. 3+ years of experience in Databricks. Develop application using Python/PySpark, and Databricks. 3+ years of experience in Databricks.
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Experience in building and implementing data science products in cloud environments (Azure, Snowflake, Databricks, etc.) Experience in building and implementing data science products in cloud environments (Azure, Snowflake, Databricks, etc.
$150,000 - $160,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with AWS and Databricks environment. Familiarity with AWS and Databricks environment. Experience in solving difficult data science problems using a variety of Machine Learning techniques with careful investigations into accuracy / performance.
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Experience working on Databricks development, Cloud computing (Azure) preferred. Good working knowledge of source control, build and release automation and branch management with GIT repository on TFS or Azure DevOps. Experience working with databases, stored procedures, views and tables on Microsoft SQL Server and DB2.
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