Senior Data Engineer lead
Weekday AI · India · ₹400K–₹3M/yr
Technology, Information and Internet · 11-50 employees
About the role
Design, develop, and optimize scalable data solutions and pipelines using Microsoft Fabric and modern data frameworks. Collaborate with stakeholders to build semantic models and ontologies that support advanced analytics and enterprise data initiatives.
What they look for
Requirements
Requires 8+ years of experience in data engineering with strong hands-on expertise in Microsoft Fabric and Python. Candidates must have a deep understanding of semantic technologies, data architecture, and the ability to translate business requirements into scalable data ecosystems.
Full description
This role is for one of the Weekday's clients
Salary range: Rs 400000 - Rs 3000000 (ie INR 4 - 30 LPA)
Min Experience: 8+ years
Location: India JobType: full-time
We are seeking senior-level professionals with strong hands-on experience in Microsoft Fabric, Python, and Semantic Data Modeling/Ontologies. The ideal candidate will have proven expertise in designing scalable data platforms, building semantic layers, and enabling business insights through modern data engineering practices.
Key Responsibilities
- Design, develop, and optimize data solutions using Microsoft Fabric.
- Build and manage data pipelines, lakehouses, warehouses, and analytics workloads.
- Develop semantic models, ontologies, and knowledge representations to support business use cases.
- Implement data engineering solutions using Python and modern data frameworks.
- Collaborate with business and technical stakeholders to translate requirements into scalable data architectures.
- Ensure data quality, governance, metadata management, and semantic consistency across data assets.
- Support advanced analytics, AI/ML, and enterprise data initiatives.
Required Skills
- 8+ years of experience in Data Engineering and Analytics.
- Strong hands-on expertise in Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Power BI, OneLake).
- Experience with IQ/Ontologies, Semantic Modeling, Knowledge Graphs, or related semantic technologies.
- Advanced Python programming skills for data processing and automation.
- Strong understanding of data architecture, ETL/ELT, data modeling, and cloud-native analytics platforms.
- Experience working directly with business stakeholders and enterprise-scale data ecosystems.
Preferred Qualifications
- Experience with knowledge graphs, metadata management, and semantic search solutions.
- Exposure to AI/GenAI-enabled data platforms.
- Microsoft Fabric and Azure certifications preferred.
Must-have skillsMS Fabric, Fabric IQ, Python
Good-to-have skillsMicrosoft Fabric, Ontology
