Data Engineer/II

Data Engineer/II — Data Engineer – Gurugram | Join a fast‑growing fintech startup building a national savings platform. You’ll design the core data lake, create robust ETL pipelines, and embed machine‑learning forecasts that drive product decisions for millions of self‑employed users. What You’ll Do Build and maintain a BigQuery‑based data lake for banking, ERP and CRM data. Design, code, and schedule Python ETL jobs using Pandas and NumPy. Develop REST APIs for data ingestion and integration (OAuth, webhooks). Create and deploy time‑series forecasting models for cash flow prediction. Engineer AI agents that call external tools via LLM APIs (Claude, Gemini, OpenAI). Implement data‑quality checks, monitoring, and alerting across pipelines. What You Need 4+ years experience in data engineering or related field. Strong Python skills (Pandas, NumPy) and solid ETL development background. Advanced SQL proficiency: complex queries, schema design, performance tuning. Hands‑on experience with GCP services—BigQuery, Cloud Storage, Cloud Run, Secret Manager. Proven ability to ingest data from ERP/CRM systems (NetSuite, Salesforce). Familiarity with Git version control and basic CI/CD concepts. Good to Have Experience building AI agents or tool‑calling services with LLM APIs. Knowledge of time‑series ML tools (Prophet, XGBoost, SARIMAX). Exposure to orchestration platforms such as Airflow, Cloud Scheduler, or cron. The Opportunity You’ll be part of a lean, investor‑backed team (15‑20 members) that’s scaling rapidly after two funding rounds. Expect high impact, fast iteration, and ownership of end‑to‑end data workflows.