Data Engineer - MSB - KCN - 3I142
Ngân hàng Thương mại Cổ phần Hàng Hải Việt Nam (MSB)
Mô tả công việc
• 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.
Yêu cầu công việc
• 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, and building 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 a data-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 MSB 1. 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. 2. 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. 3. 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. 4. 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.
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