Lead Data Engineer (Pipelines & Reconciliation)

Lead Data Engineer (Pipelines & Reconciliation) Location: Hybrid (Noida) Experience: 5+ years Compensation: ₹35–40 LPA fixed + 0.35% equity Years of Experience: 5+ What is Antei? Software companies operating in multiple countries often run into a great number of challenges. One of the biggest challenges is managing indirect taxes consistently across all the countries they operate in. At Antei, we’ve built a platform designed specifically to solve this for software companies. Antei is one of the first end-to-end, enterprise-grade, multi-country-agnostic platform in this domain. It has been built to: 1) Reliably Automate workflows and reduce unnecessary manual effort 2) Accurately Handle complex cases with real depth while staying simple to use 3) Support fast expansion into new countries For software companies operating across multiple countries, Antei becomes a critical part of their financial stack. Website: antei.com The Antei platform is ready for deployment and is in its final testing and validation phase. Role Overview: 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. What You’ll Do: 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 What We’re Looking For: Must Have: 5+ years experience in data engineering or backend data systems Experience working in a SaaS product environment Strong experience with ETL pipelines and data workflows Experience ensuring data reliability and fault tolerance Strong debugging and problem-solving ability Ability to work independently and take ownership Strong Plus: Fintech or financial systems experience Experience with reconciliation or financial data flows Good to Have: Experience working with unified APIs or integration platforms Experience with event-driven or real-time data processing systems Tech Stack: 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 Interview Process: Our hiring process is practical and designed to respect your time while allowing us to understand how you think and solve real-world problems. Step 1: Take-home Assignment 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. We focus on practical problem-solving and real-world system design rather than algorithm-based coding tests. After Joining: Phase 1: Understand platform architecture, data flows, and reconciliation logic Phase 2: Take ownership of pipelines and begin improving reliability and performance What Success Looks Like: Pipelines run reliably with minimal failures Data discrepancies are rare and quickly resolved. Reconciliation flows remain accurate and dependable Integrations scale without data integrity issues Monitoring systems proactively detect issues Why Join Us: 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 Work Culture: 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.