Senior Data Engineer lead
- Role
- Data Engineering
- Experience
- Lead
- Employment
- Full-time
Open to IN only. Set where you work from to check your eligibility.
No BS summary
Senior/lead data engineer with 8+ years in data engineering and analytics. Must have strong Microsoft Fabric, Python, and semantic modeling/ontologies experience. India-based, full-time role.
Core skills
Required skills
Optional skills
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. 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, 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 skills MS Fabric, Fabric IQ, Python Good-to-have skills Microsoft Fabric, Ontology
What you'll do
- 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.
What they require
- 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: Experience with knowledge graphs, metadata management, and semantic search solutions.
- Preferred: Exposure to AI/GenAI-enabled data platforms.
- Preferred: Microsoft Fabric and Azure certifications preferred.
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