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Develop and oversee a comprehensive data architecture, aligning with business goals and integrating technologies such as Azure, Databricks, and Palantir to craft a forward-looking data management and analytics landscape.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Skills: pyspark,sql,python,azure,azure data engineer,adf (azure data factory),azure data factory,databricks. The ideal candidate will be proficient in tools and technologies like Pyspark, Azure Data Factory (ADF), Databricks, big data technologies, SQL, and Python.
$100,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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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 Today - UpvoteDownvoteShare Job
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Implement robust security and compliance measures in Azure, Snowflake, and Databricks to protect sensitive data and meet regulatory requirements. Collaborate with business stakeholders and technical teams to understand requirements and design end-to-end solutions that leverage Azure, Snowflake, and Databricks technologies.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Any experience with Azure Data Lake, Azure Data Factory, Azure Synapse / Azure SQL / Azure SQL Managed Instance, Azure Analysis Services, DAX, Databricks, Azure Automation, Azure Key Vault, Azure Logic Apps, Azure AutoML PowerShell, Power BI.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have a minimum of 8-10 years of relevant experience, with a focus on Azure Databricks environment, ML Ops, ML model drift monitoring, Databricks Feature Store, and proficiency in utilizing tools like Jira and Confluence.
$165,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Azure Integration: Work with Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database for data integration, processing, and storage.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Lead the design of enterprise-grade data platforms addressing needs across Data Engineering, Data Science, and Data Analysis, capitalizing on the capabilities of Azure Databricks. Strong background in data modeling, ETL/ELT workloads, and enterprise data architecture on Azure Databricks.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Should have in depth knowledge on different ETL & BI tools like Snowflake, Databricks, PySpark, Azure Cloud, ADF, Azure Synapse Analytics & Azure Hub Events. Should have executed atleast 2 Cloud based programs including Cloud Data Warehouses like Snowflake and Databricks on Azure.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Should have led and executed complex programs on Data in both on-prem and cloud environments (Azure cloud is mandatory) Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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You will be responsible for building and enhancing our Enterprise Data Platform (EDP) which is built within the Azure cloud and utilizes modern processes and technologies such as Databricks, Synapse, Azure Data Factory (ADF), ADLS Gen2 Data Lake, Azure DevOps and CI/CD pipelines.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience with cloud data warehouses (Snowflake, AWS Redshift, Google BigQuery, Azure Data Warehouse, Databricks Lakehouse, etc.) Expertise across modern cloud AI platforms (Databricks, Snowflake, AWS SageMaker, Azure ML, GCP Vertex AI, Dataiku, etc.
$106,300 - $235,400 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proficiency in Azure cloud services, including AzureML, Azure DevOps, Azure Kubernetes Service (AKS), Azure Databricks, and other relevant Azure services. Azure-specific certifications can be a plus, such as Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure DevOps Engineer Expert.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Deep Technical knowledge and experience in Databricks, Python, Scala, Microsoft Azure architecture and platform including Synapse, ADF (Azure Data Factory) pipelines and Synapse stored procedures.
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