Data Engineer

About the role

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.

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