Hiring Data Engineer (USVALS)
Skills
About the role
Job Description – 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.
Strong 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
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