Data Engineer

Job Descriptions

• Design, develop, and maintain robust, scalable, and reliable data pipelines and ETL/ELT processes.
• Write and optimize scalable data processing jobs using Spark (preferably PySpark) within the AWS Glue environment.
• Develop and maintain data transformation logic using dbt to create clean, reliable datasets for analytics.
• Build and manage data workflows and orchestration using AWS MWAA (Managed Workflows for Apache Airflow).
• Develop, test, and debug complex Airflow DAGs to schedule and monitor Spark jobs, dbt runs, and other data pipeline tasks.
• Write and optimize complex SQL queries for data extraction, transformation, and analysis using services like Amazon Athena.
• Manage access control and security for data resources using AWS IAM policies and roles.
• Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver appropriate solutions.
• Monitor, troubleshoot, and resolve issues in data pipelines to ensure data quality and integrity.
• Contribute to the documentation of data processes, pipelines, and architecture.

Requirements

• At least 2.5 years of hands-on experience in a Data Engineering role.
• Solid understanding of core data engineering concepts, modern data warehousing, and ETL/ELT principles.
• Proficiency in writing and optimizing distributed data processing jobs using Spark (PySpark highly preferred).
• Proven experience with core AWS data services, including S3, Glue, Athena, MWAA, and IAM.
• Hands-on experience with data transformation tools, specifically dbt.
• Proficiency in Python and writing efficient, maintainable, and debuggable Airflow DAGs.
• Strong SQL skills with the ability to write complex queries and perform performance tuning.
• Excellent analytical and problem-solving skills.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• (Preferred) Knowledge or hands-on experience with Infrastructure as Code (IaC) tools, particularly Terraform.
• Open-minded and willing to work in an international team
• Good at speaking English
• Having the following skill/experience/certification is a bonus 
• Data Engineering certifications from Microsoft, IBM, and Cloudera. 
• Data Management Association International (DAMA) or Certified Data Management Professional (CDMP) certification.

Benefits

• Salary: Negotiate
• An international, professional, young, but innovative and dynamic environment, working closely with international experts and joining conferences and workshops on exciting new technologies.
• Full benefits for employees according to the Vietnam Labor Laws: social and health insurance
• Holidays based on the Vietnamese labor law + paid vacations
• Work at Techno Park Tower, recognized as a world-class office tower and ranked among the world's smartest towers
• Opportunity to be on-site in the US