Lead Data Engineer
NTT Ltd. (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted on 6 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.