Data Engineer

Mức lương: Thỏa thuận
Địa điểm: Hà Nội
Kinh nghiệm: Trên 1 năm
Bằng cấp: Trung cấp - Nghề trở lên

Hạn nộp hồ sơ: 30/06/2026 (Còn 26 ngày)

Công Ty Cổ Phần Chứng khoán DNSE

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Thông tin
Việc làm

Địa điểm làm việc:

Hà Nội

số 63 65 Ngô Thì Nhậm, Hai Bà Trưng, Hà Nội

(Trước sáp nhập: Hai Bà Trưng, Hà Nội | Sau sáp nhập: Hai Bà Trưng, Hà Nội)

CV CỦA BẠN CÓ PHÙ HỢP VỚI VIỆC LÀM NÀY?

Chi Tiết Công Việc

Mô tả công việc:

We are looking for a Data Engineer who will work directly with CTO and stakeholders to build our Financial Data Platform to support our vision as a data-driven company. The goal is to use data to make informed decisions when developing software product, choosing go-to-market strategy and execute business strategy. He/she will also work with our inhouse Data Scientist on Machine Learning & Artificial Intelligence projects to revolutionize the way Vietnamese people trade and invest stocks and securities and bring the maximum values and opportunities for our customers.
The ideal candidate should have experience in Big data Hadoop/Spark ecosystem, designing and building Data Warehouse at a similar role, including designing Scalable data management & data processing platform/Data warehouse/Data lake models, collecting data from various sources such as SQL/NoSQL databases, Kafka, etc.; transforming raw data to models and building Data Lake for departmental access. They should have strong background in software engineering, including testing. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Experiences with PowerBI (or similar solutions) are preferred, but not required.
Expertise in Finance, Banking and Stock Investing is a huge plus, but not required. Must be willing to learn Stock investing domain.
Work directly with Chief Data Scientist to architect and build Financial data platform with data from various sources, both inside and outside our company. Work directly with data vendors to collect and enrich our Financial data platform.
Work directly with our Data Scientists and Investment Advisory department to build innovative product features with Machine Learning and Artificial Intelligence.
Work with stakeholders throughout the organization to catalog and collect data and identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Develop processes and tools to monitor and analyze data analytics performance and data accuracy

Yêu cầu công việc:

Strong problem solving skills with an emphasis on product development.
Experience working with Hadoop ecosystem, Apache Spark, Apache Kafka.
Experience working with Kubernetes, Docker, Cloud environments
Experience working with search engines: Elasticsearch, Sorl.
Experience working with Machine learning operations (MLOps).
Experience working with and creating data architectures and designing Data Warehouse
Experience working with SQL / NoSQL database.
Experience visualizing/presenting data for stakeholders using: ggplot, PowerPoint, PowerBI, Metabase, etc. Periscope.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.

Kỹ năng:

Data Warehouse , SQL , Big Data