What you'll be doing
This is a senior role, responsible for leading the design and implementation of a configuration-driven data migration framework on the Azure cloud platform. The data migration framework will be used across multiple client data migration engagements for the purpose of facilitating the transition of our clients' data from legacy ERP, HCM, or CRM systems to cloud-based solutions.
The data migration framework will leverage Azure technologies including Azure Data Lake, Synapse, Spark, Python, and PowerBI. This framework will enable comprehensive data profiling to evaluate and pinpoint data quality concerns. It will facilitate the extraction of data from legacy systems, as well as its transformation and subsequent loading into the target system. Additionally, the framework will support both business and technical data reconciliation processes to confirm the successful migration of all data.
The role will also focus on defining and implementing robust data modelling approaches (conceptual, logical, and physical) to support migration, including source-to-target mappings,



staging models, and optimized target data structures.
You will provide technical deep expertise in Azure Data Migration ETL Services, migration methodologies, data modelling techniques, technical leadership and delivery oversight of data migration implementations from India delivery center. Your focus would be to ensure quality in technical components, automation of reusable components and introducing best practices.

Considered an expert in this space, you will collaborate with other stakeholders to define data migration goals, delivery timelines and success criteria’s.

Roles & Responsibilities
Architect and govern scalable, manageable, and secure data migration ETL solutions that align with best practices
Lead the design and implementation of a robust data migration framework using Azure cloud technologies.
Mentor and lead a small team of engineers, promoting best practices in cloud

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