Job DescriptionExperience Level: 5 - 7+ Years
NPreferred Industry: High-Frequency Trading (HFT) or Hedge Funds
NKey Responsibilities:
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- Handle the entiredata 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. N
- Build applications thatsimplify 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 technical details as needed. 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:
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- Strong command ofPython, 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, and C++. N
- Familiarity with Jira and Agile methodologies. N
- Proficiency with Git and version control workflows. N
- Comfortable developing over SSH. N
- Knowledge of market, alternative, and supporting datasets with robust technical comprehension. N
- Experience leading a team of at least 4 people and delivering robust data solutions. N

nIdeal Skills:
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- 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 effective and maintainable code without relying on LLMs. N
- Experi

📌 Lead Data Engineer (Alibag)
🏢 Quantitative Trading Firm
📍 Alibag