Senior Data Engineer – Lead

🔥 6 minutes ago

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• 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 for 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

🎯 Requirements

• 8+ years of experience in Data Engineering and Analytics • Strong hands-on expertise in Microsoft Fabric, including Data Factory, Lakehouse, Warehouse, Power BI, and 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 • 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