Data Engineer

16 days ago

Ho Chi Minh City, VietnamMid Level

Responsibilities

Develop and support enterprise data warehouses, analytical databases, and data infrastructure.
Re-platform existing data architecture to next-generation tooling and architecture.
Build and maintain Python and SQL data pipelines for timely data delivery.
Collaborate with Data Scientists and Data Analysts to implement insights and statistical models.
Develop tools and processes that enable business self-service.
Establish guardrails so AI agents and automations can use data safely and correctly.
Classify and protect personal data to reduce the risk of PII breaches.
Maintain a secure, up-to-date, cost-effective data platform and participate in the support rotation.
Work with batch and streaming data, including Pub/Sub and change data capture.
Apply data modelling, ELT/ETL, testing, and QA practices to data pipelines.

Proven experience in a similar Data Engineering role.
Strong data warehousing and Data Engineering experience.
Solid Python programming for data processing, including DataFrames and Pandas.
Strong SQL coding skills.
Experience building Airflow DAGs and deploying delivery workflows with GitHub Actions.
Experience with GCP, BigQuery, dbt, Airflow or Cloud Composer, Terraform, Docker, and GitHub Actions.
Exposure to AWS, Redshift, Kubernetes, and Cloud Composer.
Experience with batch and streaming data, behavioural data, and structured and unstructured data.
Experience with Python dependency management, CI/CD, data modelling, ELT/ETL solutions, and data-pipeline testing and QA.
Strong Data Engineering design and communication skills.
Preferred: data governance and PII handling, including BigQuery policy tags and de-identification.
Preferred: AI-assisted engineering or AI/agentic data use cases, including Vertex AI, Gemini, or MCP.
Preferred: monitoring, alerting, and data quality tooling such as Cloud Monitoring and Elementary.
Preferred: AWS/Redshift workload migration to GCP, Debezium, Kubernetes, Looker/LookML, semantic-layer modelling, and Pentaho migration.

Hybrid working environment with work-from-home setup allowance.
Opportunity to cross-train into DevOps/Platforms or Data Engineering.
Clear career progression plan and support.
MacBook or laptop provided on starting.
Social insurance, medical insurance, and AON insurance.
13th month salary.
15 days of annual leave, 30 days of sick leave/mental health leave, and 1 day of occasion leave.
Dynamic international working environment with access to a global talent pool.
Office amenities and events including massage chairs, table tennis, a video game room, quarterly team events, a yearly company trip, and an end-of-year party.

Amazon RedshiftApache AirflowAWSdbtDockerGitHub ActionsGoogle BigQueryGoogle Cloud Platform KubernetesPandasPython SQL Terraform