Công Ty Cổ Phần Chứng Khoán KAFI

We are looking for a highly skilled Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure. In this role, you will collaborate closely with Data Analyst, Data Scientist, and cross- functional teams to ensure seamless data availability, reliability, and performance. Your responsibilities will include building and optimizing ETL workflows, enhancing data storage efficiency, and integrating diverse data sources to support advanced analytics and business intelligence initiatives. This position reports to the Data & Analytics Manager / Head of Business Technology Solutions.
Key Responsibilities

Collaborate with development team to integrate data from various sources, including from core system database, APIs and streaming platform.
Ensure compliance with security, privacy, and regulatory standards for data handling.
POC and adopting new technologies to improve data platform management in large- scale high throughput.
Engage in the full lifecycle of data platform development, including building and maintaining data warehouses and data lakes, as well as designing, implementing, and optimizing scalable ETL processes (batch/streaming) to support analytics, machine learning, and business intelligence initiatives.
Reporting and other tasks relevant to data engineer domain knowledge.
Bachelor/Master Degree in Applied Mathematics, Quantitative and Computational Finance, Computer Science or equivalent domain.
Contribute to building the data infrastructure for a Quant Trading Platform, including real- time market data ingestion, processing, and management to support scalable and efficient algorithmic trading strategies.
Ensure data integrity, quality, and governance by implementing best practices in data validation and monitoring.

Yêu cầu công việc

3+ years of experience in Data Engineering or similar role.
Solid technical skill, proficient in programming languages such as Python (or Go, Java, C++) and are willing to learn new technologies.
Precision, passion, open- mindedness, and quick self- learning skills in big data, as well as enthusiasm for solving business problems.
Knowledge of ETL tools (Airflow, dbt, Talend, etc.), DevOps and CI/CD for data pipelines.
Previous experience in a business or industry- specific setting (e.g., finance, retail, healthcare) is a plus.
Experience with big data technologies (Spark, Hadoop, Beam, Kafka) and distributed computing.
Hands- on experience with cloud platforms (GCP, Azure, AWS) is a plus.
Strong teamwork skills, honesty, dignity, and responsibility.

Full salary during probation
Attractive salary
For every 5 work- years, +2 day to annual leave​​
Diverse company culture activities: Annual Year End Party, Quarterly party, Company outings, Team building, Coffee and Snack, etc
Government Social Insurance is based on full of gross salary
Working Monday – Friday, 8am:5pm

Cập nhật gần nhất lúc: 2025-05-30 18:40:03