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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 good 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 Azure Services ( Azure Synapse, Data Factory, Azure Data Lake Storage, Databricks, Python and SSIS)
Worked with transactional, temporal, time series, and structured and unstructured data.
Deep understanding of the operational dependencies of applications, networks, systems, security, and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).
Mandatory Skills: Azure Synapse, Data Factory, Azure Data Lake Storage, Databricks, Python
Work arrangement
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