Ngân hàng Thương mại Cổ phần Hàng Hải Việt Nam (MSB)Được đăng bởi Jobryva (Quản lý: [email protected])
Data Engineer - MSB - KCN - 3I142
Hà Nội, Quận Đống Đa (Vietnam)•MID•FULL_TIME
Mức Lương Công Khai
25.000.000 ₫ - 45.000.000 ₫/ tháng
5 ứng viên đã nộp1064 lượt xem
Kỹ Năng & Tech Stack Yêu Cầu
Nội Dung Tuyển Dụng & Đãi Ngộ
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Mô Tả Chi Tiết
Platform Construction: Build, operate, and define the strategic architecture for the Big Data and Lakehouse platform using Delta Lake, Apache Iceberg, and Medallion architectures (Bronze/Silver/Gold).
Infrastructure Management: Manage, monitor, and scale data infrastructure across On-Prem and OpenShift/Kubernetes container platforms.
Data Integration & Pipelines: Design, develop, and optimize robust batch and real-time data pipelines using Airflow, Kafka Streaming, and low-latency CDC models.
Advanced Processing (PySpark/Spark): Develop, tune, and maximize the performance of processing jobs using Apache Spark and PySpark at the cluster level for massive datasets.
Performance & Cost Optimization: Continuous tuning of system performance (Spark, Presto,…) and cloud resource utilization to reduce overall operational costs.
Data Governance & Security: Enforce data quality, security policies, lineage, and catalogs (OpenMetadata) in compliance with strict Banking & Finance regulations.
24/7 Operations: Establish real-time monitoring/alerting dashboards, handle incident management, lead root-cause analysis, and ensure system availability and SLAs.
Technical Leadership: Lead, mentor, review code, and set engineering standards/best practices for the team of Data, Platform, and Cloud Engineers.
Cross-Functional Collaboration: Partner closely with BA, BI, Data Science, and Source IT teams to evaluate integration feasibility and deliver data solutions.
Education: Bachelor’s degree or higher in IT, Computer Science, Data Science, Management Information Systems, or related fields.
Core Experience: Minimum 4+ years of professional experience in Data Engineering, Big Data, or Data Platform roles, including senior or technical leadership capacity.
Technical Ecosystem (Must-Have): Deep expertise in Apache Spark, PySpark, Presto, ApacheKafka, Storage, and Airflow orchestration.
K8s & DevOps Expertise: Strong hands-on experience in Kubernetes/OpenShift administration, containerizing big data workloads, configuring K8s networking/storage, andbuilding automated CI/CD pipelines (GitLab CI, Jenkins, or ArgoCD) for data applications.
Architecture & Coding: Strong command of Lakehouse architecture, open table formats (Delta/Iceberg), complex SQL optimization, and Python / Scala / Java.
Cloud & Containers: Proven practical experience with AWS cloud services and OpenShift or Kubernetes container environments.
Production Operations: Experience operating 24/7 production data systems, handling pipelines failure, data replay, backfilling, and ensuring idempotency.
Preferred Tools: Familiarity with Git, CI/CD, Infrastructure as Code (Terraform), OpenMetadata, IBM Cloud Pak for Data (CP4D), IBM CDC, watsonx, or Databricks.
Certifications (Plus): Professional certifications in Data Engineering (AWS/GCP, Databricks, Cloudera, IBM) or Kubernetes (CKA/CKAD) are a major advantage.
Language: Proficient in English, especially in reading and understanding complex technical documentation (TOEIC 550+ equivalent).
Soft Skills & Attributes:o Strong systems thinking, change management capability, and a passion for driving adata-centric culture.o Calm under pressure, proactive, meticulous, and highly responsible for 24/7 production environments.o Excellent communication skills to mentor team members and collaborate effectively in complex cross-functional setups.
Industry Background: Prior experience working in Banking, FinTech, or large financial institutions is a significant asset
.QUYỀN LỢI
KHI GIA NHẬP MSB1. Attractive Compensation and Bonuses:• Competitive salary aligned with market standards and commensurate with capabilities, to be negotiated upon successful completion of the interview process.
Year-end performance bonus ranging from 2 to 5 months of the average annual salary, depending on performance evaluation results.
Comprehensive Benefits Policy:• Statutory insurance in accordance with the law and additional private health insurance for employees.
Diverse benefits including flexible working hours, company trips, birthday leave, and more.
Preferential loan programs available for employees.
Training and Career Advancement:• Structured and in-depth training programs oriented toward transformation (Re-skill, Up-skill, New-skill), tailored to each job group.
Close guidance and mentorship from leaders, direct managers, and industry experts.
Management development programs for high-potential employees, preparing them for future leadership roles.
Priority given to internal candidates for management positions, creating strong career advancement opportunities.
Professional Working Environment and Dynamic Corporate Culture:• Friendly and open environment that emphasizes responsibility, collaboration, and mutual support.
Dynamic and creative workplace that encourages innovation and continuous learning.
Respect for diversity, with a strong focus on teamwork and effective collaboration.
Engaging cultural, sports, and recreational activities that foster a connected and enjoyable workplace. Ngành nghề: CNTT - Phần mềm Kinh nghiệm: 4 Năm Cấp bậc: Nhân viên Hình thức: Nhân viên chính thức Địa điểm: Hà Nội
Về Công Ty Tuyển Dụng
Ngân hàng Thương mại Cổ phần Hàng Hải Việt Nam (MSB)
Hà Nội, Quận Đống Đa
Tra Cứu Lương Thị Trường
Xem bảng phân vị mức lương Median, p25 và p90 cho vị trí MID Data Engineer - MSB - KCN - 3I142 tại Vietnam.
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