Technical Architect-Data Analytics

1. The ideal candidate will have a good understanding of bigdatatechnologiesdataengineering and cloud computing DWH Projects with a focus on AzureDatabricks
2. Work closely with business stakeholders and other IT teams to understand requirements and define the scope for engagement with reasonable timeline
3. Ensure proper documentation of architecture processes while ensuring compliance with security and governance standards
4. Ensure best practices are followed by team in terms of code qualitydatasecurity and scalability
5. Stay updated with the latest developments inDatabricksand associated technologies to drive innovation
6. Positive attitude and excellent communication skills to manage customer calls Excellent problemsolving skills Good communication Team collaboration

Overall 12 years of experience along with 5 years ofdata Analyticsproject experience Experience with AzureDatabricksnotebook development and Delta Lake Good understanding of Azure services like AzureDataLake Azure Synapse and AzureDataFactory Fabric Experience with ETLELT processesdatawarehousing and buildingdatalakes SQL skills and familiarity with NoSQL databases Experience with CICD pipelines and version control systems like Git Soft Skills Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders Strong problemsolving skills and a proactive approach to identifying and resolving issues Leadership skills with the ability to manage and mentor a team ofdataengineers Nice to have Skills Power BI for dashboarding and reporting Microsoft Fabric foranalyticsand integration tasks Spark Streaming for processing realtimedatastreams Experience

1. Over 12 years of IT experience including 4 years specializing in developingdataingestion and transformation pipelines using DatabricksSynapse notebooks and AzureDataFactory
2. Good understanding on different domainindustries with respect todata Analyticsproject DWH projects
3. Should be good in Excel and Power Point
4. Good understanding and experience with Delta tables Delta Lake and AzureDataLake Storage Gen2
5. Experience in building and optimizing query layers usingDatabricksSQL
6. Familiarity with modern CICD practices especially in the context ofDatabricksand cloudnative solutions

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