Job Title: Azure Architect
Mandatory Skill combination: Databricks PySpark ADF Synapse Logic Apps SQL
Experience:1015 years
Shift 12pm10pm
Location: Pune/Bangalore/ Hyderabad/Nodia
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 develop and maintain the data ingestion and integration frameworks 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 clientfacing 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:
10 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 semistructured & unstructured data sets in batch & realtime
Handson 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 NonStructured Data
Demonstrated experience with ETL development both onpremises 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 Python)
Worked with transactional temporal time series and structured and unstructured data.