Posted on: 26/05/2026
Description :
- We are seeking an experienced and highly skilled Data Engineer with strong expertise in building scalable data pipelines, data lakes, and enterprise data warehouse solutions.
- The ideal candidate should have hands-on experience in designing and implementing robust ETL/ELT frameworks, cloud-based data platforms, and data transformation solutions within large-scale enterprise environments, preferably in the Insurance domain.
- This role requires strong technical expertise in Python, SQL, cloud data technologies, and modern data engineering practices to support business intelligence, analytics, and enterprise reporting initiatives.
Key Responsibilities :
- Build and optimize ETL/ELT processes for data ingestion, transformation, validation, and reporting requirements
- Collaborate with Data Architects and cross-functional teams to design and enhance enterprise data platforms including Data Lakes and Data Warehouses
- Develop reliable and scalable cloud-based data engineering solutions for structured and unstructured datasets
- Ensure data quality, consistency, governance, monitoring, and pipeline reliability across enterprise systems
- Implement automated data validation, monitoring, and alerting mechanisms to ensure seamless data operations
- Design and maintain enterprise-grade data models and transformation workflows
- Work with large-scale datasets to support analytics, business intelligence, regulatory reporting, and operational reporting requirements
- Optimize database performance, query execution, and data processing efficiency
- Support batch and real-time data processing pipelines based on business requirements
- Collaborate with Data Science, Analytics, Reporting, and Business teams to deliver data solutions aligned with organizational objectives
- Perform root cause analysis and troubleshooting for pipeline failures, data inconsistencies, and performance issues
- Ensure compliance with security, privacy, and governance standards related to insurance data management
- Participate in cloud migration and modernization initiatives for enterprise data ecosystems
- Create and maintain technical documentation, architecture diagrams, and operational procedures
Required Skills & Qualifications :
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Posted by
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1639096