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Data Engineer

Greenland Investment Management
CompanyGreenland Investment Management
CategoryEngineering
LocationMumbai
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted6 Mar 2026
Last verified12 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
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.