Mô tả công việc
Mô tả công việc
Mức độ phù hợp và xếp hạng của bạn so với ứng viên khác như thế nào?
● Collaborate with Agile product teams (mobile, digital banking, corporate banking, and customer insight) to design, develop, test, implement, and support full-stack data solutions that directly impact millions of mobile banking users
● Design and evolve our enterprise Data Platform with Data Vault 2.0 as the foundational modeling methodology while delivering high-quality, trusted data layers in Google Cloud
● Build high-throughput, low-latency real-time and batch data pipelines to power behavioral analytics, next-best-action recommendations, and seamless customer experiences
● Create scalable ingestion, transformation, quality enforcement, and serving layers that feed our Next-Gen Mobile Banking App and other Digital Banking platform products
● Ensure enterprise-grade data quality, governance, lineage, security, and compliance in a highly regulated environment
● Optimize pipelines for performance, cost-efficiency, reliability, and scalability on Google Cloud Platform (GCP)
● Mentor junior and mid-level data engineers, conduct design reviews, and leverage DataOps best practices (CI/CD, automated testing, observability)
● Partner closely with mobile app teams,
data scientists, and business stakeholders to translate digital banking requirements into production-grade data products.
Yêu cầu
● Bachelor's Degree in Computer Science, Engineering, or a related field
● Solid experience (typically 2+ 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 debt 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
Thưởng
Policy for 13th-Month Salary Bonus and Holiday Bonuses According to Company
Regulations.
Chăm sóc sức khoẻ
Full participation in social insurance, as well as a yearly health checkup at a reputable
hospital.
Comprehensive visit policy for personnel and relatives: birthday, marriage, childbirth,
illness, etc.
Đào tạo
Opportunities for capacity development, as well as assistance with professional
certification expenses, are available to those who work in the field (1 million - 5
million).
Some advanced certifications will cover the full cost of stu
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Thông tin khác
NGÀY ĐĂNG
[protected info]
CẤP BẬC
Nhân viên
NGÀNH NGHỀ
Công Nghệ Thông Tin/Viễn Thông > Data Engineer/Data Analyst/AI
KỸ NĂNG
PYTHON, Sql, Pyspark, Google Cloud Platform, Mentoring
LĨNH VỰC
Phần Mềm CNTT/Dịch vụ Phần mềm
NGÔN NGỮ TRÌNH BÀY HỒ SƠ
Bất kỳ
SỐ NĂM KINH NGHIỆM TỐI THIỂU
2
QUỐC TỊCH
Không giới hạn
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Thông tin chung
- Thu nhập: Tới 40tr /tháng
Nơi làm việc
- Lương Yên, Hai Bà Trưng, Hà Nội