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

Salary:

Negotiation

Job ID:

J01741

Status:

Close

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