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 solid 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 operating ETL/ELT pipelines in

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