Hiring Data Engineer (USVALS) (Bengaluru)

Data Engineer (USVALS) Experience: 6+ Years Location: Pune / Chennai / Bangalore Payroll: Haparz Budget: Up to 22 LPA About the Role We are looking for an experienced Data Engineer to join the USVALS initiative. As part of the Valuation transformation program, you will contribute to building a modern Property Search and Create shared component that supports a centralized valuation platform. This role focuses on developing scalable data solutions and enterprise search capabilities to improve business efficiency and standardize valuation processes. Key Responsibilities - Design and develop scalable data pipelines using Databricks, PySpark, and Python. - Build and enhance enterprise data platforms supporting valuation applications. - Develop Property Search and Create shared components for enterprise applications. - Implement efficient search capabilities for large-scale property and valuation datasets. - Develop reusable, high-performance data services and shared application components. - Collaborate with product owners, architects, and engineering teams to deliver scalable solutions. - Optimize data processing, performance, and reliability across enterprise platforms. - Integrate multiple enterprise data sources while maintaining data quality and consistency. - Support cloud-based data engineering initiatives and modern data architecture. - Follow best practices for code quality, testing, documentation, and deployment. Required Skills - 6+ years of experience in Data Engineering. - Strong hands-on experience with Databricks. - Strong expertise in PySpark. - Strong programming skills in Python. - Experience building enterprise data platforms. - Experience developing search capabilities or search-driven applications. - Experience designing reusable shared application components. - Robust understanding of scalable ETL and data engineering best practices. Preferred Skills - Property, Valuation, Real Estate, or similar domain experience. - Cloud platform experience (AWS, Azure, or GCP). - Databricks or Cloud certifications. - Experience working with enterprise-scale distributed data platforms. Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka .