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About the role
Area(s) of responsibility Skills: Azure Databricks Sr. Architect, Python, Pyspark, Data Factory, Data Lake Experience: 15+ years Location: Mumbai/ Pune/ Noida/ Bangalore/ CHennai/ Hyderabad Responsibilities - Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity - Design and Develop the Data lake, Data warehouse using Azure Cloud Services - Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure - Drive the design, sizing, POC setup, etc. of Azure environments and related services for the use cases and the solutions - Reviews the solution requirements support architecture design to ensure the selection of appropriate technology, efficient use of resources and integration of multiple systems and technology. - Must possess valuable client-facing experience with the ability to facilitate requirements sessions and lead teams - Support internal presentations to technical and business teams - Provide technical guidance, mentoring and code review, design level technical best practices Experience Needed - 12-15 years of industry experience and at least 3 years of experience in architect role is required along with at least 3 to 4 years experience designing and building analytics solutions in Azure. - Experience in architecting data ingestion/integration frameworks capable of processing structured, semi-structured & unstructured data sets in batch & real-time - Hands-on experience in the design of reporting schemas, data marts and development of reporting solutions - Develop batch processing, streaming and integration solutions and process Structured and Non-Structured Data - Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and Azure Analysis Services and other ETL technologies. - Experience in Perform Design, Development & Deployment using Azur .
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