Our client is a top-tier Algorithmic Trading firm trading across Indian and global exchanges. As they scale their trading operations, they are looking for a Lead Data Engineer to own and manage the entire data lifecycle powering research, backtesting, and live trading.
Location: Gurugram
This is a mission-critical role central to the reliability and performance of their trading ecosystem.
Key Responsibilities
- Design, build, and maintain scalable ETL pipelines for tick data, OHLC, fundamentals, and alternative datasets
- Detect and resolve data anomalies including stale ticks, bad prints, missing data, timestamp issues, and feed inconsistencies
- Build automated QA, validation, and reconciliation workflows
- Manage and optimize data storage layers (historical, real-time, distributed data stores)
- Integrate and manage market data feeds from Bloomberg, Refinitiv, FactSet, Tick data providers, NSE/BSE, and global exchanges
- Lead and mentor a small team of data engineers/analysts
- Conduct code reviews, enforce best practices, and drive engineering excellence across data systems
Required Qualifications & Skills
- 7–12 years of experience in market data engineering, financial data operations, or related domains
- Strong understanding of tick data, corporate actions, exchange market microstructure, and vendor feed behaviours
- Hands-on experience with Python, SQL, distributed databases, and modern ETL frameworks
- Experience in HFT/MFT environments is highly preferred
- Ability to build reliable, low-latency data pipelines for quantitative research and trading
Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.