Finhay Việt Nam

As a Data Engineer, your primary responsibility will be to design and build our data warehouse and develop features that leverage the power of data to deliver value to our customers. Your daily tasks will encompass a wide range of activities, including but not limited to:
Working with large datasets and solving difficult analytical problems
Conducting end-to-end analyses, including data collection, processing, consolidation and analysis.
Designing, building, operationalizing, securing, and monitoring the data processing pipeline and the data warehouse.
Creating reliable pipelines after combining data sources.
Building prototype analysis pipelines to generate insights
Finding trends in data sets and developing an algorithm to make raw data more useful for our product teams
Deploying, leveraging, and continually training and improving existing machine learning models
Automating manual processes to enhance data delivery.
Meeting business objectives in collaboration with data scientists and key stakeholders.

Bachelor's degree or higher in computer science, mathematics, statistics, or engineering (or a related field).
Proficient in Python & SQL.
Demonstrated experience in developing, building, and delivering machine learning models to production.
Experience working with NLP/LLM is a plus.
Experience with investing & trading in the stock market is a plus.

Attractive income.
Monthly/annual bonuses, 13th-Month Bonus.
12 days for annual leave and 03-day bonus leave for each 12 working months.
Team building activities, holidays with the company.
Open working space.
Every 6-months performance review.
Approach the environment of a fintech startup, grant admissions to many departments within the company: product-design, product development, growth, operations.
Learn, experience, and get close contact with experts in investment and finance.
Propose ideas freely, permission to make trials, and fail.
Other benefits as per required from the Labor Code.
We offer a competitive compensation package and a dynamic work environment that encourages innovation and professional growth. Join our team and contribute to the cutting-edge work we do in leveraging data to drive business success.