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Senior Data Engineer - ETL/Python

Rightmatch Hr Services
8 - 13 Years
Bangalore

Posted on: 26/05/2026

Job Description

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 :


- Design, develop, and maintain scalable and high-performance data pipelines for insurance systems and enterprise applications

- 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 :


- 8 to 15 years of experience in Data Engineering, Data Platform Development, or Enterprise Data Management

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