Data Engineer at GTEMAS

Confirmed open

This GTEMAS data-engineering role supports analytics and ML teams with reliable pipelines, documented datasets and cloud warehouse design. It covers middle and senior levels.

GTEMAS

Location: VN / Vietnam
Employment: CONTRACTOR
Work arrangement: remote
Technologies: Python, AWS, Azure, SQL

Role overview

This GTEMAS data-engineering role supports analytics and ML teams with reliable pipelines, documented datasets and cloud warehouse design. It covers middle and senior levels.

Responsibilities

Build ETL or ELT pipelines with Python, Spark and Airflow; model data and optimize Snowflake, BigQuery or Redshift warehouses for performance and cost.
Set data-quality and governance checks, work with scientists and analysts on usable datasets, and at senior level own warehouse architecture and standards.
Apply testing and CI/CD practices to pipelines and use AI-assisted tools for code and anomaly detection where useful.

Qualifications

At least three years of data engineering for middle level or five for senior level, with advanced Python and SQL.
Experience with Spark or Kafka, Airflow or Prefect and a cloud data platform such as AWS Glue, EMR or Azure Data Factory.
Fluent written and spoken English, understanding of pipeline testing and data contracts; senior applicants need architecture and governance leadership.