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Tier-1 brand, Bangalore metro, broad Snowflake/ADF skillset, and popular data role increase candidate competition.
Cloud Snowflake/ADF focus is transferable across industries but favors enterprise consultancy experience.
Extensive mandatory Snowflake, ADF, CI/CD, and leadership skills demand strict technical and domain fit.
Lead design, development, and modernization of enterprise data ingestion using Azure Data Factory and Snowflake, focusing on cloud-native solutions and legacy migration.
Manage and mentor an offshore data engineering team, including sprint planning, code quality oversight, and delivery execution.
Act as primary client-facing technical lead, translating business needs into ingestion architectures, engineering roadmaps, and managing stakeholder expectations.
Strong experience with Azure Data Factory, Snowflake, SQL, Python, Azure Data Lake Storage, and Azure DevOps.
Proven skills in ETL/ELT design, Change Data Capture, API integrations, metadata-driven frameworks, and cloud data platform migration.
Work Experience Required: Not explicitly mentioned in the JD.
Must be able to lead offshore teams and handle client-facing technical responsibilities.
Experienced in leading technical teams in cloud data ingestion and modernization projects using Azure and Snowflake platforms.
Skilled at architecting reusable ingestion frameworks and implementing CI/CD, monitoring, data quality, and governance standards.
Able to collaborate across architects, platform engineers, and business stakeholders for standards and delivery alignment.