We're Hiring: Lead Data Engineers ( Immediate to 30 days)
Location: Whitefield, Bangalore
Platform Specialization: Databricks
Project Scope: Complex DWH & Migration initiatives across the full data engineering lifecycle
Are you passionate about building scalable data pipelines, optimizing performance, and solving real-world data challenges We're looking for hands-on Data Engineers who thrive in fast-paced environments and bring deep expertise in SQL, Python, Spark, Databricks, and cloud-native data platforms.
Lead Data Engineers (8+ years):
- Build and optimize robust data pipelines for ingestion, transformation, and analytics
- Work across structured and semi-structured data sources, ensuring performance and reliability
- Collaborate with cross-functional teams to deliver scalable solutions on Databricks
- Strong coding skills in SQL, Python, and Spark are a must
- Experience in data validations, reconciliation, and quality checks across ingestion and transformation stages
Must-Have Technical Skills:
- Advanced SQL (window functions, CTEs, performance tuning)
- Python (data manipulation, modular design, error handling)
- Advanced Apache Spark Programming
- Databricks (Notebooks, Delta Lake, Job Orchestration, Unity Catalog, Delta Live Tables, DB Asset Bundles, Lakehouse Architecture, Workspace Management, Cluster Configuration, MLflow Integration, and Role-Based Access Control)
- CI/CD pipelines, version control (Git), and testing frameworks
- Experience with cloud platforms (Azure, AWS, or GCP)
Software Engineering Fundamentals:
- Clean code practices and modular design
- Agile delivery and sprint planning
- Debugging, logging, and exception handling
- Code reviews and mentoring junior engineers
- Understanding of system design and scalability
Bonus Skills:
- Exposure to data modeling (dimensional, star/snowflake schemas)
- Familiarity with data governance, lineage, and cataloging tools
- Prior experience in large-scale data migration projects and validation frameworks
