Lead Data Engineer (Pipelines & Reconciliation)

Experience: 5+ years

Compensation: ₹35–40 LPA fixed + 0.35% equity

For software companies operating across multiple countries, Antei becomes a critical part of their financial stack.

We are looking for a hands -on Lead Data Engineer to own and manage the data backbone of our platform.

This role is responsible for building and maintaining reliable, secure, and scalable data pipelines, ensuring data integrity, and enabling accurate reconciliation and financial workflows across the system.

You will ensure that data moves safely, consistently, and reliably across integrations, services, and internal systems.

• Design, build, and maintain ETL and data pipelines across the platform
  

• Ensure reliability, accuracy, and integrity of all data flows
  

• Maintain 99.99% uptime and operational reliability of pipelines
  

• Manage reconciliation flows and ensure financial data consistency
  

• Monitor, debug, and resolve data failures and inconsistencies
  

• Expand and maintain integration data pipelines
  

• Optimize performance and scalability of data processing systems
  

• Implement monitoring, logging, and alerting for pipeline health
  

• Ensure data security and safe handling practices
  

• Backend & APIs: Xano, Cloudflare Workers, Render
  

• Internal tooling & UI: Retool
  

• Data & integrations: Nango, Cloudfare Workers
  

• Infrastructure: Cloudflare, R2, Railway, Render
  

• Data processing & ETL: JavaScript -based pipelines
  

Our hiring process is practical and designed to respect your time while allowing us to understand how you think and solve real -world problems.

A short exercise based on real data pipeline and reliability scenarios.

Step 2: Solution Discussion

A walkthrough of your approach, decisions, and trade -offs with the team.

Step 3: System Design & Reliability Discussion

A deep dive into designing resilient pipelines, handling failures, ensuring data integrity, and scaling integrations.

Step 4: Final Conversation

A discussion focused on ownership, working in a lean team, and long -term alignment.

• Own the data infrastructure of a Global SaaS company
  

• Work in a lean, high -trust environment with minimal bureaucracy
  

• Solve real -world financial data challenges at scale
  

• Build systems designed for reliability and long -term performance
  

• Equity participation aligned with long -term growth
  

We value clarity, ownership, and execution.

We prefer simple solutions, calm problem -solvers, and people who take responsibility for outcomes.

No hype. No unnecessary meetings. Just meaningful work.