Overview

Data Engineer

Mumbai | Full-Time

We’re rebuilding insurance from the ground up digital-first, transparent, fast, and fair. No legacy tech. No dusty processes. Just clean systems, modern data platforms, and customer experiences that feel human.

Founded in 2024 by leaders who’ve built some of India’s most successful insurers and challenger brands, we combine deep insurance expertise with startup velocity.

We’re not modernizing insurance. We’re rewiring it.

Role Overview

As a Data Engineer, you’ll play a critical role in building and scaling our modern data platform from scratch.

You’ll design robust data pipelines, enable real-time and batch processing, and ensure our data is reliable, accessible, and analytics-ready across the organization. You’ll collaborate closely with product, analytics, engineering, and business teams to power decision-making and digital experiences through high-quality, trusted data.

This is a greenfield opportunity—no legacy systems, no technical debt. Just clean architecture and strong engineering principle

What You’ll Do

• Design, build, and maintain scalable data pipelines using AWS-native services

• Implement CDC (Change Data Capture) and event-driven ETL pipelines alongside bulk ingestion workflows

• Develop and manage integrations from transactional and operational systems

• Build and optimize analytics-ready data models in Amazon Redshift (and/or Snowflake)

• Work with AWS Glue, DMS, and related services for orchestration and transformation

• Efficiently handle data from MongoDB and PostgreSQL sources

• Implement monitoring, data quality checks, and performance optimizations

• Partner with analytics, data science, and backend teams to support key business use cases

• Ensure security, reliability, and scalability of the data infrastructure

What We’re Looking For

Must-Have:

• Strong hands-on experience with AWS data services (Glue, DMS, Redshift)

• Experience building CDC pipelines and event-driven ETLs, along with bulk load workflows

• Experience working with MongoDB and PostgreSQL

• Strong understanding of data modeling, ETL design patterns, and distributed data systems

• Advanced SQL skills and solid data transformation practices

Nice-to-Have:

• Experience with Kafka or other event/queue processing systems

• Exposure to Databricks and/or Snowflake

• Experience in a startup or fast-paced product environment

• Familiarity with insurance, fintech, or regulated domains

Why Join Us?

• Build a greenfield data platform—no legacy baggage

• Real ownership and impact from day one

• Work with a team that values speed, clarity, and clean engineering

• Help reshape how insurance works in India

• Collaborate with experienced industry leaders and high-caliber builders