We are looking for an experienced Data Engineer from LATAM to join a US-based Asset Management firm that has recently established its technology hub in Uruguay. This unique opportunity offers relocation to Uruguay and allows you to be part of a pioneering team in the region.⁣

𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:⁣

🎯 Creating an automated data processing system and monitoring/maintaining it⁣

🎯 Integrating multiple data sources and databases into one system⁣

🎯 Developing interfaces and microservices in Python⁣

🎯 Enriching the company’s data⁣

🎯 Preprocessing and cleansing of semi-structured or unstructured data⁣

🎯 Developing efficient algorithms for data processing⁣

🎯 Testing and integrating external APIs⁣

🎯 Supporting the Business Analysts team⁣

W𝗵𝗮𝘁 𝗬𝗼𝘂’𝗹𝗹 𝗕𝗿𝗶𝗻𝗴:⁣

✅ At least 4 years of experience as a data engineer or software developer⁣

✅ Excellent programming skills⁣

✅ Experience with data processing using Python⁣

✅Experience with databases, at least SQL ones⁣

✅Experience with Containers and Kubernetes⁣

✅Scripting skills in a UNIX environment: shell, Python, Fire, etc.⁣

✅Experience with code versioning tools (e.g., Git), issue tracking tools (e.g., Jira)⁣

✅Debugging skills, eye for detail, and identifying problems⁣

✅Able to work with / refactor legacy Python code⁣

✅A passion for working with data⁣

✅A bachelor's/master's degree in a technical or quantitative field⁣

W𝗵𝗮𝘁 𝘄𝗲 𝗼𝗳𝗳𝗲𝗿:⁣

☑️Highly Competitive salary package.⁣⁣

☑️The opportunity to join a US company establishing its operations in Uruguay⁣

☑️Hybrid work (2 days) from our offices in Montevideo, Uruguay.⁣⁣

☑️Excellent work environment and the chance to take on significant challenges.⁣

☑️Medical insurance for the whole family.⁣

☑️Compensation and assistance to relocate to Uruguay.⁣

⁣

Important: This hybrid position, based in Montevideo, Uruguay, requires two days of on-site work per week. Candidates residing in Argentina, Brazil, Colombia, Costa Rica, Peru, or other countries must relocate to Uruguay.⁣

Apply now and join us in shaping the future of data-driven investment operations.