Data Engineer

Job Description

Finquest is the premier platform delivering personalized connections to its clients who seek MA (Mergers Acquisitions) and direct investment opportunities in the Asia Pacific, European and North American mid-market space. With a unique database, machine learning and a team of experts, Finquest provides targeted, curated, and actionable connections, whilst maintaining complete confidentiality throughout the process. With Finquest, clients can broaden their market access, creating a more efficient deal making environment. To strengthen our RD team, we are looking for several Data Engineers with strong backgrounds in data wrangling and ETL processes. You will have the opportunity to work in a fast-growing team and significantly impact our products and services that strongly benefit our clients. Key Responsibilities: Collaborate with both data engineering teams to crawl, analyze, and process data from various heterogeneous data sources to grow our production database. Design, develop, maintain, and improve software solutions to business problems using data engineering techniques. Build and test prototype data wrangling services and ETL processes, ship to production and keep iterating in a fast pace. Analyze, annotate, curate, and improve datasets used to train our state-of-the-art machine learning models. Make a significant impact on further improving the quality of our data and service. Other duties as assigned. Requirements: Graduate with a masters degree in Computer Science or related fields. At least 2-year professional experience as a Data Engineer or similar engineering roles. Great passion for data engineering and related technologies. Strong programming skills in Python and at least one other programming language. First experience with web crawlers (Scrapy, Selenium, ), data wrangling tools (Pandas), databases (SQL NoSQL), and revision control tools. Strong hands-on skills and comfortable with Linux/Unix systems and CLIs. Results-driven altitude and autonomous spirit for getting things done. Fluency in English. Would be a plus: Proven record of writing high-quality production-level code. Experience in financial/economic databases, cooperate research, and FinTech. Understanding of machine learning concepts and hands-on experience with pertinent libraries. Familiar with Agile methodologies. Experience with large-scale parallelization with HPC or GPU. Open-source projects demonstrating your creative drive.