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Understanding of ETL methodology and/or creating data models within Qlik and/or Databricks environment to join multiple data sources into a model for accurate and efficient rendering of outputs within Qlik. Understanding of data automation principles.
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Design dashboards, conduct data engineering/ETL utilizing tools such as Databricks, and apply agile scrum methodologies. Skillful with Databricks/Snowflake and strong understanding of SQL preferred.
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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.
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We are seeking a highly skilled AWS Data Engineer with expertise in building Data pipelines and processing solutions on the AWS platform, focusing on Databricks, Delta Lake, and Python development.
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Extensive hands-on experience implementing enterprise grade Cloud Databricks Infrastructure(i.e., Azure Stack), RBAC, SCIM etc., using IAC tools like Terraform. Understanding the Python , Scala and SQL Codes and troubleshooting databricks , database and azure connectivity and access related issues.
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Experience migrating data platforms to Databricks including Hadoop/Cloudera, Teradata, Redshift, etc. Certification in Databricks, Apache Spark and/or Cloud Platforms (AWS/Azure) preferred.
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Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the worlds toughest problems. More than 9,000 organizations worldwide including Comcast, Cond Nast, and over 50% of the Fortune 500 rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe.
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The ideal candidate will have extensive Microsoft/Azure data services and Databricks technology experience. Design, develop and maintain data pipelines using Databricks and Microsoft Azure services.
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Experience with data visualization tools like Looker/Dash/Databricks Dashboards. Experience with cloud computing platforms and frameworks such as DataBricks and AWS. Experience with data visualization tools like Looker/Dash/Databricks Dashboards.
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As a Senior Azure Data Engineer, you will possess a deep understanding of Azure data services and technologies, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Databricks, and Azure SQL Database.
$101,250 - $148,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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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Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ServiceNow, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, StepStone, Ten Eleven Ventures, and Wipro Ventures.
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Hands-on experience with Azure data services including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics (formerly SQL Data Warehouse). Lead the migration of data from Azure Synapse to Databricks, ensuring data integrity, performance, and scalability.
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Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems is preferred. Design, implement, deploy, and maintain deep learning and Client models using cloud technologies (e.g., Azure Databricks, MLFlows and Azure Client.
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