BLUEOC TECH - RECRUITMENTJob Title: Data Engineer (AI/ML Focus) – Intern / Fresher-JuniorKey Responsibilities
For Intern:
- Support senior engineers in designing, developing, and maintaining data pipelines and ETL/ELT processes.
- Assist with data processing and transformation using Python, SQL, and related tools.
- Learn and contribute to data processing jobs using Spark/PySpark under guidance.
- Support data workflows and basic Airflow DAG development.
- Assist in writing SQL queries for data extraction and basic data transformation.
- Support data preparation and preprocessing for AI/ML use cases.
- Work with structured and unstructured datasets under guidance from experienced team members.
- Assist with data quality checks, pipeline monitoring, and troubleshooting.
- Collaborate with Data Engineers, Data Analysts, Data Scientists, and ML Engineers.
- Document technical processes, data workflows, and learning outcomes.
For Fresher-Junior:
- Support the design, development, and maintenance of data pipelines and ETL/ELT processes for analytics and AI/ML use cases.
- Build and optimize data processing jobs using Spark (PySpark) on AWS Glue under the guidance of senior engineers.
- Implement data transformation logic using dbt to produce clean and reliable datasets.
- Develop and maintain data workflows using AWS MWAA (Apache Airflow), including contributing to Airflow DAGs.
- Write and optimize SQL queries for data extraction and transformation using Amazon Athena or similar services.
- Prepare 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 such as AWS SageMaker or similar platforms.
- Monitor and troubleshoot data pipelines to ensure reliability and data quality.
- Document data pipelines, workflows, and technical processes.
Required QualificationsIntern
- Final-year student or recent graduate majoring in Computer Science, Data Science, Information Technology, Software Engineering, or related fields.
- Basic understanding of programming concepts, preferably Python.
- Basic knowledge of SQL and relational databases.
- Basic understanding of data structures, data processing, or ETL concepts.
- Familiarity with datasets and basic data manipulation.
- Basic understanding of AI/ML concepts is a plus.
- Familiarity with Git is a plus.
- Willingness to learn data engineering, cloud technologies, and AI/ML.
- Good analytical and problem-solving skills.
- Good communication skills and willingness to work in an international environment.
Fresher-Junior
- 0–1 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, including 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, including data preparation, training, and deployment basics, is a plus.
- Experience working with structured or unstructured datasets.
- 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, including data preprocessing, feature engineering, or basic model training.
- Familiarity with tools such as SageMaker, MLflow, Databricks, or similar platforms.
- Awareness of Generative AI concepts such as LLM, RAG, and vector databases.
- Exposure to dbt or Airflow through academic, personal, internship, or work projects.
- Basic understanding of Infrastructure as Code (Terraform or similar).
- Experience with cloud-based data platforms is a plus.
Benefits
- Salary: Negotiable
- International, professional, young, and 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 according to Vietnamese regulations.
- Opportunity for onsite assignments in the US.
- Opportunity to work on real-world international projects and develop expertise in Data Engineering, Cloud, and AI/ML technologies.
Contact
BlueOC Tech
Address:
- 12th Floor, Technopark Tower, Vinhomes Ocean Park, Gia Lam, Hanoi
- 7th Floor, HL Tower, 82 Duy Tan, Cau Giay, Hanoi
Email: [Confidential Information]
- Fanpage: https://www.facebook.com/BlueOC.tech/
