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
Job Type: 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.

Requirements

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, One Lake).
- 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 skills

MS Fabric, Fabric IQ, Python

Good-to-have skills

Microsoft Fabric, Ontology

📌 Senior Data Engineer lead (India)
🏢 Weekday AI
📍 India