Data Engineer

Company Profile:

Greenland Investment Management is a Mumbai headquartered global hedge fund manager managing assets in excess of USD 1 billion. We manage one of the 10 largest dedicated commodity hedge funds globally.
We specialize in cross-market arbitrage strategies across commodities and currencies, investing globally across 40+ markets. We employ a purely quantitative approach using our proprietary big-data research systems to systematically create consistent alpha generating strategies.
Our extensive network of globally interconnected and exchange co-located servers along with our low latency trading platforms allow us to algorithmically capture these market inefficiencies across asset classes.

Job Profile:

Python Engineers work on building the core operations infrastructure for the firm and automating hedge fund operations to ensure a smooth running of the firm.

Job Description:

• The team is responsible for the design, development and maintenance of critical, data-driven applications which are a key component of daily trading workflow.
• You will be designing and implementing various tools and processes used by Quants, Traders and Operations.
• Design and build data pipelines and workflow systems for various market data and trading systems used by various groups across the firm.
• Design and build analytical tools and reporting systems for operational and business insights.
• Collaborate closely with cross-functional teams to gather requirements and implement scalable solutions.
• Take complete ownership of projects which includes evaluating requirements, building good domain knowledge, design and code reviews for other team members, documentation, etc.
• Continuously improve and optimize existing Python codebase/processes for better performance and reliability.
• Our development environment is Python-based, with cross-platform work on Linux and Windows. We utilize tools such as Docker, Git, Messaging Queues, and cloud environments like AWS to build and deploy scalable systems.

Core Skills Needed:

• Graduate from a tier 1/2 engineering institute or equivalent.
• Between 1-3 years of experience in a coding-oriented role
• Candidate should have excellent problem-solving skills, high quantitative aptitude, and ability to turnaround projects quickly.
• The candidate should have one to three years of programming experience with Python (or Java or equivalent) at a Technology or Financial firm.
• Previous Python experience is not required, although we are looking for an established track record of working on large-scale object-oriented projects.
• Solid understanding of SQL databases for managing and querying data.
• Ability to work independently and as a part of a dynamic team.
• The candidate should be willing to work in a language-agnostic environment.
• Strong communication skills in English to effectively collaborate with team members and stakeholders.

Added Advantage:

• Prior experience in full stack or front-end technologies (React-JS or similar).
• Prior experience or exposure in finance or financial technology like high-frequency trading (HFT) or quantitative finance environments.
• Experience with data processing, ETL workflows, and integration of external data sources.