Lead Data Engineer
Aptean (company site, opens in a new tab)7–10 yrsBengaluruOn-siteDirect career pageEst. 22–35 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 following medallion architecture using Microsoft Fabric.
- Develop, deploy, and troubleshoot reliable distributed data pipelines integrating structured and unstructured data for analytics and AI-driven insights.
- Implement data quality frameworks and data governance to ensure secure, compliant, and AI/ML-ready data models supporting enterprise reporting and semantic modeling.
Minimum Requirements
- 7-10 years of work experience in data engineering.
- Hands-on expertise in data warehouses, lakehouse platforms, ETL/ELT pipelines, and Microsoft Fabric or similar.
- Must work in shifts: 1pm to 10pm shift timing.
- Strong technical skills in data modeling, medallion architecture, data governance, and DevOps practices in data engineering context.
Ideal Candidate Profile
- Experienced in building enterprise-scale data platforms that support analytics, reporting, and AI/ML use cases.
- Proficient in implementing data quality frameworks and governance ensuring compliance and security in data management.
- Capable of leading cross-functional teams and communicating complex data engineering solutions to technical and non-technical stakeholders.