Data Engineer Intern

DATA ENGINEER INTERN
Office Location: Ho Chi Minh City
Department: Service Delivery
Working model: Full-time Hybrid
We are seeking a Data Engineer Intern with a strong foundation in data and programming to join our growing team. This is a great role for someone who wants to gain knowledge and hands-on experience with cloud-native data platforms, analytics solutions, data pipelines, analytics and AI/Agentic AI solutions on public clouds such as AWS and Azure.
Cloud Kinetics (CK) is a great place to learn and grow your career! At CK, every associate makes a difference. Here, you have the opportunity to learn new skills, apply your expertise, explore local and global challenges, and solve complex technology issues with creative solutions and diverse teams. You are part of a team that drives change and delivers results daily. Our success is a direct result of our people.
Job Description
Assist in building and maintaining ETL/ELT pipelines for structured and unstructured data sources on AWS and Azure.
Participate in delivering data platform projects to clients, working alongside solution architects and delivery teams.
Assist in preparing curated datasets and data models for downstream analytics and BI consumption.
Support data preparation, ingestion, and integration for AI and Agentic AI solutions, including data pipelines that enable AI agents, knowledge bases, and enterprise data access.
Perform operational support, maintenance, and monitoring for cloud-based data pipelines in the post-implementation phase.
Contribute to internal technical documentation, knowledge sharing, and contribute to maintaining the codebase to improve service delivery
Requirements
Bachelor's degree (or currently pursuing) in Computer Science or a related engineering field.
0-1 years of experience in a Data Engineering, Data Analytics, or related position. We welcome fresh graduates with relevant internship experience or personal projects.
Strong foundational programming skills in Python and SQL
Basic understanding of data modelling, ETL/ELT pipelines, data lake, data warehouse, data governance and security.
Basic understanding of Generative AI concepts and an interest in working with data platforms that support AI and Agentic AI solutions.
Hands-on with version control systems (e.g., Git).
Good in communication skills and teamwork.
Self-starter who is passionate about learning new technology.
Nice to have
Exposure to at least one major Public Cloud (AWS, Azure, or GCP).
Exposure to working with APIs, document data, vector databases, or data pipelines for AI applications.
Basic understanding of Generative AI, RAG, knowledge bases, or Agentic AI concepts.
Understanding of deployment pipelines (Jenkins, GitHub Actions, or cloud DevOps services).
Familiarity with Pandas, PySpark, or other data processing frameworks.
Hands-on experience in IaC tools like Terraform, CDKor similar tools.
Data certifications.
Why Join Cloud Kinetics?
If you are at the beginning of your career, you don't need to know everything yet. We are looking for someone with strong fundamentals, curiosity, and the willingness to learn.
This internship gives you the opportunity to:
Receive a competitive internship allowance
Learn by doing: work with real data, real cloud technologies, and real delivery scenarios.
Be mentored by practitioners: learn directly from engineers working on Data, Cloud, and AI projects.
Go beyond traditional Data Engineering: gain exposure to the intersection of Data Engineering and emerging GenAI/Agentic AI use cases.
Build cloud-ready skills: develop practical experience with technologies used across AWS and Azure environments.
Grow in an international cloud consulting environment: collaborate with technical and delivery teams while developing both technical and professional skills.