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 solid 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

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