Công ty Cổ phần Freshdi Việt Nam
Ngày đăng: Nov 24, 2025
📍 Location: Thu Duc, Ho Chi Minh City (near Global City)
🕒 Working hours: Monday – Friday (8:30 – 17:30), Saturday (8:30 – 12:00)
💰 Salary: Negotiable based on ability
Freshdi is a global B2B platform powered by AI and Big Data, connecting buyers and suppliers across multiple industries.
We are looking for an experienced Senior Data Engineer who can design and optimize data systems, while providing technical direction for the team in building large-scale data solutions that support global technology products.
Design, build, and maintain efficient data pipelines to support analytics and AI
Manage, process, clean, standardize, and distribute data (data API, microservices)
Develop and optimize ETL/ELT systems for both batch and streaming
Manage data warehouses/data lakes ensuring data integrity and security
Work proficiently with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis, Elasticsearch, etc.)
Write complex SQL queries to support data analysis and business decision-making
Collaborate closely with Product, BI, and Business teams to build appropriate data solutions
Apply AI/ML to optimize processes, automation, and advanced analytics
Work within an Agile/Scrum model
At least 2 years of experience as a Data Engineer or similar role
Proficiency in Python (R/Scala is a plus)
Proven experience in building and managing ETL/ELT pipelines, data warehouses/lakes
Strong knowledge of both SQL & NoSQL databases
Solid analytical mindset and advanced SQL skills
Experience deploying batch and streaming data pipelines at scale
Ability to leverage AI/ML for data optimization is a strong plus
Capable of working independently, proposing solutions, and providing technical leadership within the team
Passion for learning, proactivity, and enthusiasm for new technologies
Competitive salary based on ability + performance bonuses
Dynamic startup environment, direct exposure to AI & Big Data technologies
Opportunity to lead technical aspects in large-scale data projects
Advanced training and opportunities to develop leadership skills
Hands-on experience with real-world global data, directly impacting product outcomes
Regular performance reviews & salary evaluations