Posted:1 day ago|
Platform:
On-site
Full Time
Area(s) of responsibility Experience: 12 to 16 Years Develop and maintain scalable architecture, data warehouse design and data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure Drive the design, sizing, estimation & POC activities for Azure Data 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. Provide technical guidance, mentoring and code review, design level technical best practices Cloud Architect with experience in Azure ADF, Databricks, PySpark Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on AWS and Azure Cloud Experince in Azure Databricks and ADF, Azure Synapse and PySpark Experience with integration of different data sources with Data Warehouse and Data Lake is required Experience in creating Data warehouse, data lakes for Reporting, AI and Machine Learning Understanding of data modelling and data architecture concepts To be able to clearly articulate pros and cons of various technologies and platforms Collaborate with clients to understand their business requirements and translate them into technical solutions that leverage AWS and Azure cloud platforms. Define and implement cloud governance and best practices. Identify and implement automation opportunities to increase operational efficiency. Conduct knowledge sharing and training sessions to educate clients and internal teams on cloud technologies.
Birlasoft
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