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Sol. Arch. in ,

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Sol. Arch.

Diverse Lynx India Pvt. Ltd. IND (Onsite) Full-Time
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

Recommended Skills

  • Active Directory Group
  • Coaching And Mentoring
  • Data Analysis
  • Data Lake
  • Data Streaming
  • Data Warehousing

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