Senior Data Engineer

• Bachelor's Degree in Computer Science, Engineering, or a related field
• Solid experience (typically 5+ years equivalent) in data engineering using Python, SQL, Spark / PySpark/
• Solid understanding of digital banking data domains (T24 data, mobile transactions, banking products, app events, customer behavioral, corporate banking flows)
• Proven hands-on experience with Google Cloud Platform (GCP), particularly BigQuery as a core data warehouse/lakehouse solution
• Strong background in building and operating big data pipelines, including real-time/near-real-time processing with Spark, Spark Streaming, or equivalent frameworks
• Practical experience with real-time streaming technologies (Spark Streaming, Flink, Kafka Streams) and workflow orchestration (Airflow)
• Proficiency in dbt for data transformations, Python/PySpark development, and modern data warehouse/lakehouse approaches
• Expertise in scalable data modeling - Data Vault 2.0 strongly preferred (or demonstrated success delivering agile, auditable enterprise data models such as medallion or lakehouse patterns)
• Familiarity with data governance, lineage practices, and compliance requirements in a regulated banking environment
• Experience designing, developing, and optimizing RESTful APIs and/or GraphQL APIs (including schema design, performance tuning, versioning, security, rate limiting, and integration with mobile/web frontends or microservices)
• Experience leveraging AI copilots and hands-on familiarity with AI agents (e.g., GitHub Copilot, Claude Code, OpenClaw, ...) to accelerate development, code review, and pipeline automation
Quyền lợi và chế độ
Laptop
Insurance benefits
Travel
Allowances
Uniform
Bonus policy
Healthcare
Training
Salary increase
Annual leave