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Experience in architecture, design, and implementation using Databricks and Azure Data Factory. Keywords: Data Engineer, Data Developer, Data Manager, Pyspark, Python, Apache Spark, Azure, Azure Data Lake 2, Azure Data Factory, Spark, Databricks, Python, Spark SQL, Data Lakes, Data warehouse, Data Pipelines, Agile Methodology, Data Processing Pipeline, Troubleshooting, Automation, Unit testing, Integration Testing.
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Participate in architecture reviews and contribute to the design of the overall data strategy. - Proficiency in Azure services such as Azure Data Lake Storage, Azure SQL Database, Azure Data Factory, Azure Synapse, and Azure Databricks.
$160,000 - $200,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years proven data modeling skills - must have demonstrable experience designing models for data warehousing and modern analytics use-cases (, from operational data store to semantic models) *Expert in Python for data analytics, visualization, machine learning, and models *2-3 years' experience in modern data architecture that supports advanced analytics including Snowflake, Azure, etc.
$64 - $80 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Provide expertise in the design and development of best practice for big data stacking, data warehousing, data lake, ETL architecture, data federation, virtualization, data modeling procedures, data visualization, and workflows including technical documents.
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Application Architecture, Solution Design Documents, etc Strong at analytical and problem-solving skills Experience working with multi-vendor, multi-culture, distributed offshore and onshore development teams in dynamic and complex environment.
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Design and implement data lake architecture using Snowflake Data Lake, Snowflake data warehouse and S3 for scalable and efficient storage and processing of structured and unstructured data.
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Data Architecture: Design, integration, and cloud platform expertise, particularly with Azure and Databricks. The Tech Lead / Senior Data Engineer will lead and contribute to the design, development, maintenance, and evolution of AI and Data Products.
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Architecture experience includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory) Working with Enterprise wide tools such as Enterprise Data tools such as Esri, Tableau, MicroStrategy, API Gateways, and Oracle databases and integration tools.
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This role provides execution guidance and practical engineering support to mission teams working with the strategic guidance from the Cloud Engineering Lead. This role focuses on the development, design and integration of MDM or entity resolution capabilities within the context of a broader cloud-based data architecture.
$183,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in end-to-end architecture design and deployment of Azure data science environments using Azure ML, ML Flow, Synapse analytics, Azure OpenAI services, Cognitive services, Azure Databricks.
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As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Technology Engineering and Architecture team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Must have at least 4+ years of Experience in Snowflake architecture, design, implementation, and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Provide technical architecture guidance and expertise in developing, architecting, and maintaining Azure Synapse Analytics end to end solution, Azure Databricks, spark pool, and monitoring of high-volume of complex data warehouse and analytical processes.
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Lead the design and development of modern data solutions leveraging Azure Logic Apps, Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse, and Databricks. Proficiency in data modeling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta lakes.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Develop and maintain Data Lake architecture (Imply, Snowflake, Data bricks, etc), ensuring secure and efficient data storage, retrieval, and management. As a Data Infrastructure Engineer, you will play a crucial role in the design, implementation, and maintenance of our data infrastructure.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago
lake architecture design jobs Title: data engineer
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