Data Engineer

ABOUT CLIENT

Our client is using new technology to develop products for the banking industry

JOB DESCRIPTION

Develop and enhance data ingestion pipelines with Python and PySpark to gather and modify data from various sources such as transactions, KYC, AML, authentication, devices, and logs.
Proficiency in SQL, with a preference for PostGres.
Design and maintain data models tailored to support Financial Crime/Fraud detection, profiling, and entity resolution.
Implement data quality checks and ensure data reliability across all environments.
Work closely with Data Scientists, Analysts, Compliance, Operations, and Product/Feature teams to put models and rules into practice.
Utilize jobs, workflows, APIs, and streaming to manage extensive data processing workloads.
Integrate with external systems, for example, sanctions, ID&V, biometrics, and authentication systems, to enhance risk and identity data.
Support automation and monitoring of ETL processes for improved operational efficiency.

JOB REQUIREMENT

Bachelor's degree or equivalent qualification
Over 5 years of experience with strong proficiency in Python, PySpark, Scala and Advanced SQL (preferably PostGres)
Hands-on experience with Databricks, Snowflake, Fabric or similar platforms
Proven hands-on experience working with structured and unstructured data in a production environment.
Familiarity with Agentic AI, MLFlow, ML models, and Eval Secure Coding practices - testing/QA
Comfortable working with cloud-based data platforms (preferably AWS).
Effective communication skills in English for collaborating with cross-functional teams in an international environment.
Proficient in working with Text, Delta, Parquet, JSON, CSV, and XML data formats.
Working knowledge of Spark structured streaming.
Experience with AWS infrastructure and working specifically with S3.
Solid understanding of git-based version control, DevOps, and CI/CD.
Experience with Atlassian stack would be a plus. Knowledge of common web API frameworks and web services.
Strong teamwork, relationship, and client management skills, and the ability to influence peers and senior management to accomplish team goals.
Willingness to embrace modern technology, best practices, and methods of work.
Experience in Financial Crime/AML, KYC, or fraud detection systems.
Familiarity with Entity Resolution frameworks (e.g., Quantexa, Sensing, open source Entity Resolution tools).
Experience with data streaming frameworks (Kafka, Spark Streaming, MQ).

WHAT'S ON OFFER

Company offers meal and parking benefits.
Full benefits and probationary salary provided.
Insurance coverage as per Vietnamese labor law and premium health care for employees and their families.
Work environment is values-driven, international, and agile in nature.
Opportunities for overseas travel related to training and work.
Participation in internal Hackathons and company events such as team building, coffee runs, and blue card activities.
Additional benefits include a 13th-month salary and performance bonuses.
Employees receive 15 days of annual leave and 3 days of sick leave per year.
Work-life balance with a 40-hour workweek from Monday to Friday.

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Data Engineering, Big Data

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01710

Status:

Active

Related Job:

Partner Implementation Engineer (Security & Digital Trust)

Ha Noi - Viet Nam

Outsource

  • System

Đóng vai trò là người thực hiện triển khai chủ chốt, chịu trách nhiệm triển khai, cấu hình và tích hợp các giải pháp Security & Digital Trust (PKI, Chữ ký số, Mã hóa, MFA) vào hệ thống thực tế của khách hàng, đảm bảo hệ thống vận hành ổn định, bảo mật và đúng thiết kế. Triển khai hệ thống (Implementation) Chuẩn bị môi trường: kiểm tra hạ tầng (Server, Hệ điều hành, Cơ sở dữ liệu, Mạng) Cài đặt & cấu hình giải pháp: PKI / CA / Chữ ký số / MFA / Mã hóa Thiết lập chính sách bảo mật, quy trình nghiệp vụ Kết nối với thiết bị bảo mật (HSM, Quản lý Khóa) Triển khai trên nền tảng Cloud / Container (nếu có) Triển khai hệ thống trên Kubernetes / OpenShift Cấu hình tài nguyên (YAML: Pod, Dịch vụ, Ingress, Bản đồ Cấu hình, Bí mật) Thiết lập lưu trữ (Khối Lưu trữ Không gian); mạng nội bộ Áp dụng các chính sách bảo mật cho container Tích hợp hệ thống (Integration) Hỗ trợ tích hợp với: Trang web/ Ứng dụng/ Giao diện lập trình ứng dụng và IAM / SSO / AD / LDAP Hướng dẫn sử dụng API/SDK Kiểm tra luồng dữ liệu & bảo mật giao tiếp Phối hợp với nhóm khách hàng (Phát triển / Cơ sở hạ tầng / Bảo mật) Kiểm thử & nghiệm thu (QA/UAT) Thực hiện kiểm thử kỹ thuật & kịch bản vận hành Hỗ trợ UAT với khách hàng Kiểm tra tính đúng đắn của: Chữ ký số; Chứng thư và Luồng xác thực Vận hành & hỗ trợ Giám sát hệ thống, phân tích log, xử lý sự cố Hỗ trợ sau triển khai (L2/L3) Đảm bảo hệ thống hoạt động ổn định & HA Tài liệu & chuyển giao Xây dựng tài liệu triển khai (cấu trúc, cấu hình) Hướng dẫn vận hành cho khách hàng Đào tạo kỹ thuật cơ bản

Negotiation

View details

DevOps Engineer

Others - Viet Nam

Product

  • Devops
  • Kubernetes
  • Network

Managing and developing our Kubernetes platform across multiple clusters and environments including production, development, on-premises and public cloud. Designing and overseeing hybrid cloud infrastructure across on-premises and public clouds (such as GCP, AWS), including workload placement, cross-cloud networking, and unified resource management. Taking responsibility for the end-to-end CI/CD and GitOps process, including container build pipelines, image optimization, and progressive delivery using tools like ArgoCD/FluxCD. Taking charge of the observability stack to provide a comprehensive view across all clusters using tools like Grafana, Mimir, Tempo, Loki, Pyroscope, OnCall, Prometheus, and supporting agent-assisted SRE workflows. Managing and enhancing our inference platform, including vLLM serving and AIBrix for multi-model orchestration and autoscaling with a fleet of NVIDIA GPUs. Operating platform services such as Kafka, Redis, PostgreSQL, OpenSearch. Managing identity and access management with Keycloak integrated with Google Workspace, strengthening SSO, RBAC, and secrets management across the platform. Strengthening network security across private load balancers, firewalls, and VPC segmentation and designing and maintaining hub-and-spoke/multi-AZ topologies. Supporting training infrastructure with self-service VM provisioning, RunPod burst capacity, and Weights and Biases integration. Driving infrastructure reliability, cost efficiency, and capacity planning as the platform scales.

Negotiation

View details

Platform Engineer

Ho Chi Minh - Viet Nam

Product

  • Backend
  • Devops
  • Data Engineering

Create and maintain distributed infrastructure responsible for handling telemetry, sensory, and control data in cloud and edge environments Develop and operate data ingestion and streaming pipelines connecting robot fleets to the cloud in real-time, including video, joint states, audio, and LiDAR Build and manage backend services and APIs for the developer-facing platform, prioritizing reliability and excellent developer experience Oversee and improve cloud-native infrastructure utilizing Kubernetes, Docker, and infrastructure as code tooling Ensure platform reliability through monitoring, alerting, autoscaling, failover, and incident response Provide support to ML and robotics teams with data infrastructure for training pipelines, policy rollout, and hardware-in-the-loop simulation Implement secure APIs with access control, rate limiting, and usage metering to accommodate scaling efforts

Negotiation

View details