Job DescriptionExperience 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 clarify N

ntechnical details as needed.
N
- n
- Distinguish between user needs and wants to prioritize effectively. N
- Proactively explore andpropose 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 ofPython, Bash, and SQL in a Linux setting.



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, and N

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 highlyefficient and resource-optimized data pipelines. N
- Up to date with hardware and software trends relevant to data engineering. N
- Ability to write efficient and maintainable code

📌 Hiring: Lead Data Engineer (Alibag)
🏢 Quant Trading Firm
📍 Alibag