Job Description
Experience Level: 5 – 7+ Years
nPreferred Industry: High-Frequency Trading (HFT) or Hedge Funds
nKey Responsibilities:
n• Handle the entire data delivery process, including data procurement, vendor
ndiscussions, process setup, pipeline design and deployment (with logging and alerts),
nand database insertion, optimizing for minimal data delivery cycles.
n
- n
- Build applications that simplify data querying for quantitative developers.n
- Work with multiple datasets to deliver standardized data outputs.n
- Break down large, abstract tasks into manageable deliverables within set deadlines.n
- Identify business requirements, communicate them effectively to end users, and clarifyn

ntechnical details as needed.
n
- n
- Distinguish between user needs and wants to prioritize effectively.n
- Proactively explore and propose new ideas.n
- Quickly assume responsibilities from senior staff to support the team.n
- Adhere to safe data handling practices.n

nEssential Skills:
n
- n
- Strong command of Python, Bash, and SQL in a Linux environment.n




- Understanding of low-level system design for efficient data delivery applications.n
- Ability to explain technical concepts to non-technical stakeholders.n
- Hands-on experience with ClickHouseDB and its integrations with Python, Bash, andn

nC++.
n• Familiarity with Jira and Agile methodologies.
n
- n
- Proficiency with Git and version control workflows.n
- Comfortable developing over SSH.n

n• Knowledge of market, alternative, and supporting datasets with strong technical
ncomprehension.
n• Experience leading a team of at least 4 people and delivering robust data solutions.
nIdeal Skills:
n
- n
- Experience handling 1+ TB of daily data processing.n
- Ability to build highly efficient and resource-optimized data pipelines.n
- Up to date with hardware and software trends relevant to data engineering.n
- Ability to write productive and maintainable code without relying on LLMs.n
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📌 Lead Data Engineer (Mumbai)
🏢 Quant Trading Firm
📍 Mumbai