- Dự án 7 tháng.
- Kí HĐCTV max 25M, HĐLĐ max 21M.
- Design, develop, and optimize scalable data pipelines for Digital Banking systems, including T24, mobile transactions, and application events.
- Build and maintain batch and real-time data processing solutions using Python, SQL, Spark/PySpark, and Kafka/Flink/Spark Streaming.
- Develop and optimize cloud data platforms on GCP, particularly BigQuery.
- Implement data transformation and orchestration workflows using dbt and Airflow.
- Design data models and architectures using Data Vault 2.0, Medallion Architecture, or Lakehouse.
- Develop and integrate RESTful/GraphQL APIs for data services.
- Leverage AI coding tools such as GitHub Copilot, Claude Code, and OpenClaw to improve development efficiency and automation.
- 5+ years of experience in Data Engineering.
- Strong experience in Digital Banking data, including T24, mobile transactions, or app events.
- Proficiency in GCP (BigQuery), Python, SQL, Spark/PySpark, dbt, and Airflow.
- Hands-on experience with real-time data streaming technologies such as Kafka Streams, Flink, or Spark Streaming.
- Good understanding of data modeling and modern data architectures.
- Experience designing or integrating RESTful/GraphQL APIs.
Practical experience using AI Copilots/Agents for coding, debug
- Mức lương cạnh tranh: Upto 25M.
- Tham gia dự án công nghệ với quy mô lớn và kiến trúc hiện đại.
- Môi trường làm việc chuyên nghiệp, nhiều cơ hội học hỏi và phát triển chuyên môn.
- Làm việc cùng đội ngũ kỹ sư giàu kinh nghiệm
