Lead Data Engineer
UNAVAILABLE7–10 yrsBengaluruOn-siteDirect career pageEst. 22–30 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable enterprise data lakehouse platforms using Microsoft Fabric with medallion architecture.
- Develop, deploy, and troubleshoot reliable distributed data pipelines integrating structured and unstructured data.
- Implement data quality frameworks and support AI/ML-ready data modeling for enterprise analytics and reporting.
Minimum Requirements
- 7 to 10 years of work experience in data engineering.
- Hands-on experience with data warehouses, lakehouse platforms, ETL/ELT pipelines, and data modeling using medallion architecture in Microsoft Fabric or similar.
- Must work shift from 1pm to 10pm.
- Familiarity with data governance, data quality frameworks, and DevOps practices in data engineering context.
Ideal Candidate Profile
- Strong expertise in building enterprise-scale, AI/ML-ready data platforms with lakehouse architecture.
- Proven ability to lead complex, cross-functional data engineering initiatives that impact enterprise analytics and reporting.
- Comfortable working in a shift-based environment and collaborating with diverse technical and non-technical stakeholders.