





Mid-senior Bangalore data role with common Azure/ADF skills and 7–10 year band increases competition.
Role demands Azure Data Factory and data migration domain knowledge, moderately limiting cross-industry transferability.
Explicit 7–10 years requirement plus mandatory Azure Data Factory, SQL, and leadership raises shortlisting strictness.
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Lead end-to-end data migration projects using Azure Data Factory (ADF) or equivalent ETL technologies, focusing on design, development, and implementation of scalable ETL pipelines.
Own data mapping, transformation strategies, data validation, cleansing, reconciliation, and quality assurance to ensure data integrity during migration.
Provide technical leadership and mentorship to junior engineers, collaborating with architects, developers, and stakeholders to optimize migration workflows and ensure compliance with security and regulatory requirements.
7–10 years of experience leading data migration projects using Azure Data Factory (ADF) or similar ETL platforms.
Strong hands-on expertise in SQL, Azure Data Factory, Cosmos DB, and data transformation technologies.
Bachelor's degree or MCA in Engineering, Computer Science, or equivalent.
Experience working in Agile/Scrum environments.
Experienced leader capable of managing and mentoring technical teams on enterprise-scale data migration programs.
Deep understanding of data integration patterns, cloud migration frameworks, and data quality management in large dataset environments.
Proven ability to collaborate effectively with cross-functional teams including business and technology stakeholders to deliver high-quality, scalable data migration solutions.