Senior Data Engineer lead

Posted 3 Days Ago
Be an Early Applicant
5 Locations
In-Office
1M-3M Annually
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Lead design and implementation of enterprise data platforms using Microsoft Fabric. Build and optimize pipelines, lakehouses, warehouses, and semantic models/ontologies. Develop data engineering solutions in Python, ensure data quality, governance, and metadata management, and support analytics, AI/ML, and stakeholder requirements for large-scale data initiatives.
Summary Generated by Built In

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.


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

  •  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 skills

MS Fabric, Fabric IQ, Ontology

Good-to-have skills

Microsoft Fabric, Python

Skills Required

  • 6+ years experience in Data Engineering and Analytics
  • Hands-on expertise in Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Power BI, OneLake)
  • Experience with Fabric IQ, Ontologies, Semantic Modeling, or Knowledge Graphs
  • Advanced Python programming skills for data processing and automation
  • Strong understanding of data architecture, ETL/ELT, and data modeling
  • Experience with cloud-native analytics platforms and enterprise-scale data ecosystems
  • Experience working directly with business stakeholders to translate requirements
  • Experience with knowledge graphs, metadata management, and semantic search solutions
  • Microsoft Fabric and Azure certifications
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The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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