Role: Lead Data Engineer

Responsibilities:
- Design and build scalable, reliable data pipelines and ETL/ELT workflows across batch and near-real-time processing scenarios
- Develop and maintain data models across relational (SQL Server) and NoSQL (MongoDB, Atlas) systems to support analytical and operational use cases
- Build and manage data solutions on Microsoft Fabric — including Lakehouses, Warehouses, Dataflows, and Pipelines — to deliver a unified analytics platform
- Drive AI-enabled development practices within the team — leveraging AI coding assistants, LLM-based tools, and intelligent automation to accelerate pipeline development, improve code quality, and reduce manual effort
- Lead, mentor, and grow a team of data engineers; conduct code reviews, provide technical guidance, and support career development
- Collaborate with stakeholders, product owners, data scientists, and analysts to understand data needs and translate them into engineering solutions
- Build and maintain Power BI data models, semantic layers,



and datasets to support self-service analytics and business reporting
- Continuously identify opportunities to optimize pipeline performance, reduce costs, and improve data reliability and quality
- Adhere to and enforce data engineering standards, data security, and governance practices across the platform

Required Skills and Experience:
- 8 to 10 years of experience in data engineering with a robust track record of delivering production-grade data solutions
- Strong proficiency in Python (PySpark, Pandas) and SQL for data transformation, pipeline development, and performance tuning
- Proficient with Microsoft Fabric including Lakehouses, Warehouses, Dataflows Gen2, and Data Pipelines
- Strong experience with SQL Server including schema design, stored procedures, indexing, and query optimization
- Experience with MongoDB and MongoDB Atlas for NoSQL data modeling, indexing, aggregation pipelines, and Atlas Search
- Solid experience designing and

📌 Data Engineering Lead (Bengaluru)
🏢 Kadel Labs
📍 Bengaluru