_DE Roles_Up to 75M Gross

3-5 Years

Job Description

Position: Data Engineer Middle/Senior [Up to 75M]

Location: Hồ Chí Minh & Hà Nội

Job description AWS:

Design and build scalable data platforms on AWS following Data Mesh principles • Develop and maintain ETL/ELT pipelines for distributed data domains
Collaborate with domain teams to define data products and ensure data ownership • Design and optimize data models for analytics and operational use cases
Implement data governance, quality, and security standards across domains • Optimize performance and scalability of data pipelines and storage systems • Support API/data access for downstream consumers (BI, applications)
Document data products, pipelines, and architecture

Job Qualifications:

3+ years of experience in Data Engineering / Data Platform
Strong experience with AWS (S3, Glue, Lambda, Redshift, Athena) • Hands-on experience with ETL/ELT and data pipeline development • Solid SQL and data modeling skills (relational/dimensional)
Understanding or experience with Data Mesh / Data Product mindset • Experience working with large-scale or distributed data systems
Familiar with data governance, data quality, and security practices
Good English communication (working with global teams)
Strong collaboration and problem-solving skills

Nice to have:

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Job description GCP:

Develop and maintain data pipelines on Google Cloud Platform (GCP).
Build and support ETL/ELT workflows using Cloud Composer (Managed Apache Airflow).
Write and maintain SQL queries in BigQuery for reporting, analytics, and data processing.
Develop and manage Airflow DAGs, including scheduling, dependency management, rerun, and backfill processes.
Develop Python scripts and utilities for data processing and workflow automation.
Collaborate with Data Analysts, Data Scientists, and business teams to support analytics and AI-related projects.
Monitor and optimize data pipeline performance and reliability.
Apply query optimization techniques to improve BigQuery performance and reduce data scan costs.
Manage source code using GitHub and follow development best practices.
Ensure data quality and consistency across data platforms. across teams

Job Qualifications:

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related fields.
Around 3 years of experience in Data Engineering or related positions.
Hands-on experience with Google Cloud Platform (GCP), especially BigQuery and Cloud Composer.
Good experience working with Apache Airflow, including DAG design, scheduling, dependency management, rerun, and backfill.
Strong SQL skills with experience writing complex queries using CTEs, window functions, and nested queries.
Experience optimizing SQL queries for BigQuery performance is a plus.
Proficient in Python for Airflow DAG development, automation, and data processing.
Experience using GitHub or other Git-based source control systems.
Familiar with ETL/ELT processes and data warehousing concepts.
Experience working on AI/Analytics projects is an advantage.
Good communication and teamwork skills.
English communication skills are preferred.

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Benefits:

FPT care health insurance is provided by Petrolimex (PJICO) and is exclusive for FPT employees.
Annual Summer Vacation: follows company's policy and starts from May every year
Salary review 1-2 times per year
International, dynamic, friendly working environment
Annual leave and working conditions follow Vietnam labor laws.
Vacation leave and allowance: depend on length of employment.
Other benefits: sponsor for studying and taking international certification exams, sponsor loan interest policy for Fsofter….
Shuttle bus for employees

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Contact: Ms. Quyen – Talent Acquisition Specialist

Email: [Confidential Information] | Tel/Zalo: 0949727933