Fresher-Junior Data Engineer (AI/ML Focus)

- Support the design, development, and maintenance of data pipelines and ETL/ELT processes for analytics and AI/ML use cases.
- Assist in building and optimizing data processing jobs using Spark (PySpark) on AWS Glue under guidance from senior engineers.
- Help implement data transformation logic using dbt to produce clean and reliable datasets for analytics and machine learning.
- Support development and maintenance of data workflows using AWS MWAA (Apache Airflow), including contributing to Airflow DAGs.
- Write and optimize SQL queries for data extraction and basic transformation using Amazon Athena or similar services.
- Assist in preparing data pipelines for AI/ML workflows such as training and inference.
- Work with structured and unstructured datasets to support analytics and ML tasks.
- Collaborate with data analysts, data scientists, and ML engineers to deliver data solutions.
- Support integration with ML platforms (e.g., AWS SageMaker or similar) for model development and deployment.
- Assist in monitoring and troubleshooting data pipelines to ensure reliability and data quality.
- Document data pipelines, workflows, and technical processes.
Yêu cầu công việc
- ~1 year of experience in Data Engineering, Software Engineering, or related fields.
- Basic understanding of data engineering concepts, ETL/ELT pipelines, and data warehousing.
- Hands-on experience with SQL (writing queries and basic optimization).
- Familiarity with Python for data processing.
- Exposure to Spark (PySpark preferred) is a strong advantage.
- Familiarity with AWS services such as S3, Glue, Athena, MWAA, or IAM is a plus.
- Basic understanding of Airflow or workflow orchestration concepts.
- Understanding of ML fundamentals (data preparation, training, deployment basics) is a plus.
- Experience working with datasets (structured or unstructured).
- Good analytical and problem-solving skills.
- Good communication skills and willingness to work in an international environment.
Preferred Qualifications (Nice to Have)
- Exposure to AI/ML projects (data preprocessing, feature engineering, model training basics).
- Familiarity with tools such as SageMaker, MLflow, Databricks, or similar platforms.
- Awareness of Generative AI concepts (LLM, RAG, vector databases) is a plus.
- Exposure to dbt or Airflow in academic/personal/work projects.
- Basic understanding of Infrastructure as Code (Terraform or similar).
Quyền lợi được hưởng
- Salary: Negotiable
- International, professional, young, innovative working environment with exposure to global experts and technology workshops
- Full social and health insurance according to Vietnam Labor Law
- Holidays and paid leave per Vietnamese regulations
- Opportunity for onsite assignments in the US