Description
This role is for one of the Weekday's clients
Salary range: Rs 1400000 - Rs 3000000 (ie INR 14 - 30 LPA)

Min Experience: 6+ years
Location: Pune, Maharashtra, India, Bengaluru, Karnataka, India, Hyderabad, noida, Mumbai, Maharashtra, India
JobType: full-time

Mandatory skills- we need hands-on MS Fabric, Fabric IQ, Ontology and Python developer skills

We are seeking senior-level professionals with solid 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 up-to-date 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
- 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 sema

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