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Mandatory Skills: Data ingestion (structured, semi-structured & unstructured data sets in batch & real-time ),ADF, Databricks, ETL ,Datawarehouse, Developing pipelines, Data Modeling, Strong SQL Skills,Good to have: Python, Kafka( Realtime), Working Knowledge of Middleware,Responsibilities: Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to.
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Skills required: Azure Data Factory, DataBricks, Data Lake Architecture, Azure DevOps, Python, SQL, solid understanding of Azure fundamentals and security best practices, Release management.
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You will also understand Azure DevOps for structured development, including task management, and managed code deployment (including CI/CD pipelines). Data Movement (Apache Spark, plus Azure Data Factory and legacy SSIS.
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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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Experience deploying and automating data pipelines using Azure Databricks and Azure DevOps. Minimum 9 years of experience with Data Engineering background with deep understanding of Databricks Architecture, Power BI Architecture, and Data Lake Architecture.
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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.
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Define the target architecture on Azure Databricks, considering scalability, security, and performance. Lead the migration process from Oracle Exadata to Azure Databricks using Informatica IDMC.
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Hands-on experience implementing data migration and data processing using Azure services, Serverless Architecture, Azure Storage, Data Factory, Azure Stream Analytics, Databricks Azure Data Catalog, Azure DevOps, CI/CD.
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The ideal candidate will have a strong background in data engineering, data architecture, and expertise in utilizing Microsoft Azure technologies and Snowflake to build robust and scalable data solutions.
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Ability to build Azure cloud data solutions and provide technical perspective and expertise on storage, platform services, cloud architecture and RDBMS/ODS database practices (Snowflake and Databricks.
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6+ years of experience in cloud-based data engineering and architecture on Azure with SQL Server databases. The ideal candidate should have experience in Adobe Experience Manager, Adobe CDP, AWS Cloud Storage, RESTful custom API builds, JSON payloads, Azure Data Services, Azure GDS and custom integrations.
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Responsible for end-to-end data platform design and architecture for DataBricks on Azure. Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Leverage Microsoft Azure Data Platform services such as Azure data Factory, Azure Databricks, Logic Apps, Azure Data Lake Store, APIs, Azure SQL Database for data movement across our medallion architecture solution.
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Hands-on experience with Azure Enterprise-scale reference architecture IaaS/PaaS/SaaS. Expertise in cloud security and vulnerability management. In-depth knowledge of Azure and design of secure architecture, Microsoft 365 Applications, and Cloud automations.
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Lead Product Software Engineer | Lead Data Engineer | Azure Data Architecture | Solution Architecture page is loaded Lead Product Software Engineer | Lead Data Engineer | Azure Data Architecture | Solution Architecture Apply locations USA - Coppell, TX USIL-Remote USTX-Remote USNC-Remote USGRemote time type Full time posted on Posted 2 Days Ago job requisition id R0040417 Wolters Kluwer Tax & Accounting is looking for a Lead Data Engineer.
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