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Weekday AI

Senior Data Engineer lead

Weekday AI Hyderabad, Telangana, India · ₹1M–₹3M/yr

Technology, Information and Internet · 11-50 employees

3 d ago
data-engineer Senior (5-10 yrs) Full-time India
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About the role

Design, develop, and optimize data solutions using Microsoft Fabric while building and managing data pipelines and lakehouses. Develop semantic models and ontologies to support business use cases and ensure data quality across enterprise assets.

What they look for

Microsoft Fabric Python Semantic Data Modeling Ontologies Data Engineering Data Pipelines Lakehouse Warehouse Power BI OneLake Knowledge Graphs ETL/ELT Data Architecture Metadata Management Cloud-native Analytics

Requirements

Requires 6+ years of experience in data engineering with strong hands-on expertise in Microsoft Fabric and Python. Candidates must have proven experience in semantic data modeling, knowledge graphs, and designing scalable data architectures.

Full 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 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

  •  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.

Target Profile: Senior consultants, architects, or lead engineers with demonstrated expertise in Microsoft Fabric, data engineering, and semantic technologies, capable of driving enterprise-scale implementations with minimal supervision.

Must-have skillsMS Fabric, Fabric IQ, Ontology

Good-to-have skillsMicrosoft Fabric, Python

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