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Experience in working on Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on serverless infrastructure, Workflow orchestration using Azure Cloud Data Engineering components Databricks, Synapse, etc.
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Experience building enterprise scale data pipelines on Cloud Data Platforms using Spark and Databricks for ETL/ELT, data products, or Machine Learning; Azure preferred. Data Scientist BCforward is currently seeking a highly motivated Data Scientist remote opportunity.
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With respect to Databricks (like Unity Catalog suite features , Delta Sharing, Serverless, Lakehouse monitoring, Workflow orchestration etc). A good understanding of Databricks Cloud Architecture is required.
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Leverage Azure Databricks for big data processing and analytics tasks. Cube; Azure data factory; Synapse; SQL Server; Data bricks; Azure Storage; Digital : Microsoft Power BI.
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Tech - Azure Data Factory, Azure DevOps, Data Catalogue tools, AD Security Azure Databricks, Client tools like SSMS Azure Data Studio, Powershell knowledge, PySpark, SparkSQL, ER Modeling, Understanding of core data concepts(ACID / Normalization / SP's / Triggers / Users management / Connectivity.
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Perform ad hoc analyses of healthcare data using Azure Databricks, SQL Server, and other tools. Skills: Strong experience coding in SQLStrong experience in statistical techniquesStrong analytical abilityHealthcare data knowledgeStrong Microsoft Excel experienceExperience with Python, PySpark, and/or Databricks a plusCuriosity and a design to learn new technologies and conceptsEffective oral and written communicationPunctual and reliableTeam player with positive and energetic attitude.
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Skill to Evaluate: Data Engineering, Clienture Data bricks, Data Bricks, Python, Clienture, Clienture Data, Clienture Data Factory, Clienture Databricks, Databricks, Clienture SQL,SQL,SQL Server, Data Warehousing.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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At least 3 years of experience in designing, implementing, and maintaining robust and scalable data pipelines on Azure using services such as Azure Data Factory, Azure SQL Data Warehouse, Azure Analysis Services or any of the Azure Databricks/Synapse/Fabric.
$73,222 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with Azure tools (mainly Databricks, Data Factory, and Synapse). Owns internal Azure DevOps, GitHub, and other team collaboration sites for ongoing development management.
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Use modern data engineering practices and frameworks to create scalable big data solutions for analytics and machine learning, while ensuring data quality. Video game domain knowledge is important – as an experienced Player or industry veteran.
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Key domain pillars – Gen AI / Co-pilot; Azure Data Fabric / Snowflake / Databricks; Azure Migration / Cloud Native Applications / Integrations; Business Apps : CRM / Dynamics. The Director of Sales– Cloud, Data & Analytics Services is focused on growing CloudMoyo’s Microsoft's Azure ecosystem and Cloud, Data & Analytics Business.
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Expertise with scaling pilot machine learning solutions to a large scale production environment using databricks. based on Cloud infrastructure and services such as Azure,GCP,AWS cloud platforms and Onpremise.
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Experience/knowledge of AWS technologies like Glue, Sagemaker, EMR or other similar non AWS services such as databricks/Azure alternatives. Experience/knowledge of AWS technologies like Glue, Sagemaker, EMR or other similar non AWS services such as databricks/Azure alternatives.
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Azure Application Gateways•Databricks Backup (IaC based)•Azure virtual network Databricks Storage (DBFS)o Azure Storage (ADLS)•Databricks SQL – Delta Live Table•Disaster Recovery Deploy and maintain PaaS & SaaS Databricks platform for Machine Learning (ML) development, QA, staging, and production environments hosted on Azure cloud infrastructure.
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Experience providing user support to Analytics business organization - prefer experience with Microsoft Azure Databricks, Azure Data Lake, Azure SQL DB, Azure SQL Data Warehouse and Oracle Exadata.
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