Cloud Data Solutions Architect

2 days ago

Chennai, Tamil Nadu, India beBeeData Full time ₹ 1,04,000 - ₹ 1,30,878
Cloud Data Solutions Architect

This role is focused on designing and implementing robust cloud data solutions using Microsoft Azure and SQL Server 2012 Integration Services (SSIS). The ideal candidate will have a strong understanding of ETL processes, data warehousing concepts, and the ability to work extensively with Microsoft Azure cloud services and SSIS.

Key Responsibilities:
  • Technology Implementation & Management: Ensure smooth operation, optimal performance, and alignment with business objectives for Microsoft Azure cloud services and SSIS.
  • Analysis & Development: Conduct detailed analysis, perform development activities, and implement data integration solutions within the Microsoft Azure and SSIS domains.
  • Troubleshooting & Support: Provide expert-level troubleshooting and support for issues related to Microsoft Azure infrastructure, data pipelines, and SSIS packages.
  • Operational Contribution: Actively contribute to operational efficiency and effectiveness of data solutions built on or integrated with Azure and SSIS.
  • Data Integration Design: Design, develop, and deploy robust and scalable ETL solutions using SSIS to facilitate data movement and transformation between various sources and destinations.
  • Cloud Data Services Utilization: Leverage various data-related services within Microsoft Azure to build comprehensive data solutions.
  • Solution Optimization: Identify opportunities for optimizing existing solutions and processes within the Azure and SSIS ecosystem.
  • Documentation: Create and maintain comprehensive technical documentation for developed solutions, data flows, and configurations.

Required Skills:

  • Proficiency in Microsoft Azure cloud services.
  • Proficiency in SQL Server 2012 Integration Services (SSIS).
  • Ability to perform analysis, development, implementation, and troubleshooting within these technologies.
  • Strong understanding of ETL processes and data warehousing concepts.
  • Problem-solving skills for complex technical issues related to data integration and cloud platforms.

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