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 workplace.
- 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 environment.
- 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 career growth.
- 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