Data Engineer

ABOUT CLIENT

Our client is a global technology company that specializes in providing innovative IT solutions for the financial services industry

JOB DESCRIPTION

Develop and maintain scalable data infrastructure, data lakes, pipelines, and metadata repositories to ensure timely and accurate data delivery to stakeholders
Collaborate with data scientists to support data models, integrate data sources, and machine learning workflows
Optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency
Utilize Python, Apache Airflow, and AWS services to automate data workflows and processes for efficient scheduling and monitoring
Implement AWS services for managing data storage and compute resources, ensuring performance and scalability
Establish robust testing and validation procedures to ensure reliability, accuracy, and security of data processing workflows
Keep informed of industry best practices and emerging technologies to propose optimizations and innovative solutions

JOB REQUIREMENT

Proficient in Python for data processing and scripting, workflow automation, and experience with AWS services
Experience working with Kubernetes and Docker for managing containerized environments in the cloud
Hands-on experience with columnar and big data databases, along with version control systems like Git
Strong familiarity with cloud-based data processing and management
Experience with CI/CD tools for continuous integration and deployment
Expertise in building and managing robust data architectures and pipelines for large-scale data operations
Ability to support data science workflows, including collaboration on data preparation, feature engineering, and enabling experimentation environments
Experience with advanced data science tools for enabling machine learning environments
Familiarity with both RDBMS and NoSQL databases
Experience with enterprise BI tools
Familiarity with distributed messaging systems for event streaming
Experience with monitoring and log management tools
Knowledge of best practices for ensuring data privacy and security, particularly in large data infrastructures

WHAT'S ON OFFER

Generous salary package
Additional month's salary
Performance-based bonuses
Access to professional English training
Comprehensive health insurance
Ample annual leave opportunities

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:

Information Technology & Services

Technical Skills:

Data Engineering, Python, AWS

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J00685

Status:

Active

Related Job:

Senior Software Engineer (Backend + Network)

Ho Chi Minh - Viet Nam

Product

  • Backend
  • Network

Continuously monitor and analyze new VPN providers, proxy services, and anonymization tools. Conduct investigations on IP allocation patterns, hosting provider behaviors, and network infrastructure changes. Develop and maintain comprehensive databases of known VPN/proxy IP ranges and behavioral signatures. Research emerging threats such as residential proxies, mobile proxies, and distributed proxy networks. Monitor darkweb marketplaces and security forums for emerging proxy/VPN trends. Perform deep packet analysis and network traffic pattern recognition. Develop and maintain the system using PHP, Python, and/or Go. Optimize VPN/Proxy detection algorithms. Design scalable infrastructure to handle millions of IP lookups per day. Implement monitoring and alerting systems for detection accuracy and system performance. Analyze production incidents related to false positives/negatives in threat detection. Collaborate with DevOps team on deployment of detection rule updates and model improvements. Investigate customer-reported bypass attempts and develop rapid response solutions. Provide technical expertise during customer security consultations. Support sales engineering team with technical demonstrations and proof-of-concepts. Document threat analysis findings and detection methodologies for internal and customer use. Maintain relationships with cybersecurity vendors, threat intelligence providers, and ISPs. Monitor industry threat reports, security advisories, and academic research. Participate in cybersecurity conferences and forums to stay current with the threat landscape. Contribute to open-source security tools and research when appropriate.

Negotiation

View details

Director of Engineering (Lending)

Ho Chi Minh - Viet Nam

Digital Bank, Product

  • Management

Leading and directing the engineering teams that are responsible for the development and maintenance of technology platforms Collaborating with stakeholders to ensure that the chosen technology aligns with the company's goals Defining a clear and forward-looking technology strategy and roadmap Researching, evaluating, and selecting technologies, frameworks, and tools, and championing new ways of working Establishing governance processes and guidelines to support engineering practices, technology adoption, and application lifecycle, ensuring compliance with security, performance, and maintenance standards Facilitating the adoption and effective utilization of the engineering stack across the group, including training, documentation, support, and fostering a culture of continuous learning and improvement within the engineering leads.

Negotiation

View details

Team Lead Engineering (Crew team)

Ho Chi Minh - Viet Nam

Product - Booking Platform

  • .NET
  • ReactJS
  • Azure

Negotiation

View details