Job Description
Success Profile - Qualification and Experiences
Education
Bachelor’s or Master’s degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering, or Information Technology.
Experience
Minimum 3 years of relevant experience in developing, debugging, scripting, and working with big data technologies (e.g., Hadoop, Spark, Flink, Kafka), database technologies (e.g., SQL, NoSQL, Graph databases), and programming languages (e.g., Python, R, Scala, Java, Rust, Kotlin).
Experience in building AI systems at scale for millions of customers—comparable to Techcombank’s scale of 20 million customers—would be an advantage.
Experience in designing complex computational models for big data platforms and enhancing system performance is highly desirable.
English language proficiency in line with Techcombank’s policy requirements.
Hands-on experience in designing and developing data models, data processing workflows, and applied data warehousing concepts and methodologies, including data pipeline optimization (e.g., Spark).
Proven experience in monitoring complex systems and resolving data and system issues through a consistent, structured, and algorithmic approach.
Strong knowledge of Information Security principles and applicable data regulations (e.g., CBTIA, PDPD).
Experience working in Agile teams to support digital transformation initiatives, with a solid understanding of Agile principles, practices, and Scrum methodology.
Experience in developing basic machine learning models.