Data Engineer

ABOUT CLIENT

Our client is a big fintech company from Japan

JOB DESCRIPTION

Create and maintain a cross-company data infrastructure.
Oversee data integration and data pipelines.
Collect data from internal products, services, and CRM tools into a data lake.
Distribute data from the data lake to analysis and ML platforms as needed.
Develop and manage data analysis infrastructure.
Improve performance of data warehouse.
Maintain data quality standards.

JOB REQUIREMENT

Familiarity with developing AI algorithms from scratch
Proficiency in developing an Application Programming Interface (API) as an internet service
Experience operating and manipulating an API service using appropriate software
Ability to control and tune accuracy through operating data
Knowledge of Data Warehousing and ETL Processes
Proficiency in Cloud Platforms such as AWS, Azure, GCP
Proficiency in Python, SQL, and Big Data Technologies (Hadoop, Spark, Kafka)
Experience in Data Modeling, Data Quality, Data Security, and Version Control (Git)
Configuration management using Terraform
Experience with CI/CD tools like GitHub Actions
Proficiency in monitoring and logging tools such as Datadog, Cloud Monitoring, and CloudWatch
Familiarity with project management tools like JIRA Cloud and Miro, as well as documentation tools like Kibela and Google Workspace
2-3 years of experience with Spark
1 year of experience with Airflow (as a user, not administrator)
Experience in developing a system using cloud services on AWS, GCP, or Azure (AWS preferred)
Understanding of cloud service components from an architectural perspective
Ability to design and integrate a system with appropriate security measures
Good communication skills and open-mindedness
Proficiency in English (all four skills)

WHAT'S ON OFFER

Benefits for Employees:
Employees have the flexibility to work two days in the office and three days from home
Work hours are flexible, with the option to start between 8AM-9AM from Monday to Friday
Full salary during the probation period
Eligibility for various insurance benefits, including social, health, and unemployment insurance, as well as private health and accident insurance
Additional perks such as a 13th-month salary, 16-24 paid days off, and paternity leave
Opportunities for annual company trips, quarterly team building activities, and participation in billiards and running clubs
Access to an annual health check and well-equipped facilities, including a MacBook Pro and additional monitor
Career Growth and Development Support:
Clearly defined career paths for employees
Sponsorship for foreign language and international technology-related certifications
Access to both internal and external training courses, soft-skill workshops, and tech seminars
Recognition awards and biannual performance and salary reviews (in June and December)

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, Fintech

Technical Skills:

Data Engineering

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01741

Status:

Close

Related Job:

Senior Data Scientist

Ho Chi Minh - Viet Nam


Information Technology & Services

  • Data Science

We're seeking a seasoned Senior Data Scientist who can tackle complex business challenges and transform them into innovative technical solutions. In this role, you'll dive deep into statistical analysis, data mining, and cutting-edge Large Language Model (LLM) technologies to shape the future of AI-driven products. You'll engage hands-on with emerging technologies, pushing the boundaries of what's possible in AI from early ideation and research through to final delivery. Join us to take the helm in developing data-driven product features, mentor up-and-coming talent, and help define the next frontier of AI-powered innovation! You will closely collaborate with not only the data team but also product managers and engineers to ensure successful analytics or AI feature execution. Human-Centered Analysis: Manipulate human behavior, sentiment, and language data to uncover hidden patterns and support data-driven decision-making. AI/ML Model Development: Craft effective prompts to interact with AI models, optimizing output quality and relevance, performing fine-tuning, data feeding, validation, and engineering for continuous improvement. Deliver Pragmatic Solutions: Consistently make pragmatic technical decisions that prioritize business value and speed of delivery, aligning with our early-stage startup environment. Cross-functional Collaboration: Work with other product and engineering teams to understand data needs and ensure smooth data solution delivery

Negotiation

View details

Senior DevOps Engineer

Ha Noi - Viet Nam


Financial services, Crypto

  • Devops
  • AWS

#About the Role We are looking for a highly skilled Senior DevOps Engineer to join our team. You will play a key role in designing, implementing, and maintaining infrastructure solutions that ensure the stability, reliability, and scalability of our systems. The role requires a balance of strong technical expertise, problem-solving skills, and a passion for automation. You will collaborate with cross-functional teams to drive process improvements, enhance engineering productivity, and support business-critical applications. As a Senior DevOps Engineer, you will also be responsible for ensuring system security, leading operational automation efforts, and participating in a 24/7 on-call rotation to maintain uptime and business continuity. In line with our philosophy that development and operations are inseparable, you will leverage your coding expertise to intervene in application modules, develop new automation tools, and ensure seamless integration between code and infrastructure.#Key Responsibilities Develop, maintain, and manage tools to automate operational activities and improve engineering efficiency, including writing custom modules in Node.js or Golang for task management and system orchestration. Troubleshoot, diagnose, and resolve complex software and infrastructure issues, including debugging and modifying application code in Node.js and Golang environments. Update, track, and resolve technical issues in a timely manner. Recommend architectural enhancements and propose process improvements for scalability and reliability. Contribute to application development by intervening in existing modules or creating new ones to enhance system manageability, scalability, and performance Evaluate and implement new technologies, frameworks, and vendor products to support business goals. Apply best-in-class security practices to safeguard critical systems and data. Ensure stability, reliability, and performance of production and non-production environments. Collaborate with engineering, QA, and product teams to align infrastructure with development needs. Participate in a 24/7 on-call rotation to support high-availability systems.

Negotiation

View details

DevOps Engineer

Ho Chi Minh - Viet Nam


Product, Offshore

  • Devops
  • Java
  • Kubernetes

As a Mid-level DevOps Engineer, you will play a key role in building, maintaining, and automating the environments, CI/CD pipelines, and infrastructure that power the mission-critical solutions for our internal teams and external clients. Maintain and ensure the availability of development, staging, and production environments Manage access, runtime stability, and environment upgrades Design, build, and improve CI/CD pipelines using tools like Jenkins, Automate build, testing, and deployment processes Troubleshoot and resolve pipeline issues Develop and maintain automation scripts using Ansible Standardize infrastructure configurations and automate environment provisioning Configure and maintain monitoring, logging, and alerting systems (Grafana, Prometheus, Splunk) Enhance observability with proactive alerting and dashboards Respond to alerts and incidents within agreed SLAs Triage and resolve infrastructure and pipeline issues Document incidents and implement preventative measures Apply system hardening, vulnerability remediation, and patching Support audits and compliance checks Monitor system performance and resource usage Conduct tuning (e.g., JVM, database, message broker) and provide optimization recommendations

Negotiation

View details