Job Description

Experience Level: 5 – 7+ Years Preferred Industry: High-Frequency Trading (HFT) or Hedge Funds Key Responsibilities: • Handle the entire data delivery process, including data procurement, vendor discussions, process setup, pipeline design and deployment (with logging and alerts), and database insertion, optimizing for minimal data delivery cycles. • Build applications that simplify data querying for quantitative developers. • Work with multiple datasets to deliver standardized data outputs. • Break down large, abstract tasks into manageable deliverables within set deadlines. • Identify business requirements, communicate them effectively to end users, and clarify technical details as needed. • Distinguish between user needs and wants to prioritize effectively. • Proactively explore and propose new ideas. • Quickly assume responsibilities from senior staff to support the team. • Adhere to safe data handling practices. Essential Skills: • Strong command of Python, Bash, and SQL in a Linux environment. • Understanding of low-level system design for efficient data delivery applications. • Ability to explain technical concepts to non-technical stakeholders. • Hands-on experience with ClickHouseDB and its integrations with Python, Bash, and C++. • Familiarity with Jira and Agile methodologies. • Proficiency with Git and version control workflows.• Comfortable developing over SSH. • Knowledge of market, alternative,



and supporting datasets with strong technical comprehension. • Experience leading a team of at least 4 people and delivering robust data solutions. Ideal Skills: • Experience handling 1+ TB of daily data processing. • Ability to build highly efficient and resource-optimized data pipelines. • Up to date with hardware and software trends relevant to data engineering. • Ability to write efficient and maintainable code without relying on LLMs. • Experience working in fast-paced and high-availability proprietary trading environments. Nice-to-Have Skills: • Experience with serialization, lock-free queues, and multithreading in C++. • Knowledge of multiprocessing and asynchronous programming in Python. • Familiarity with various data processing frameworks. • Experience with Azure data services. Needful Qualities: • Well-organized, detail-oriented; able to multi-task and keep track of various deadlines in a fast-paced, high-demand setting. • Highest level of integrity, empathy, and character. • Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture. Why Join Us? • Be part of a fast-growing, innovative firm at the forefront of financial technology. • Work on challenging, high-impact projects with opportunities for rapid learning and growth opportunities. • Competitive compensation package with performance-based incentives. • A dynamic work environment with exposure to cutting-edge technologies in trading.

📌 Lead Data Engineer (Mumbai)
🏢 Quant Trading Firm
📍 Mumbai