Tuyển dụng Data Engineer at DATATYK CO., LTD tại Hồ Chí Minh

1. Data Pipeline Development

Assist in building and maintaining data ingestion and transformation pipelines

Support ETL / ELT processes from multiple data sources

Monitor pipeline jobs and help troubleshoot data issues

2. Data Platform & Storage

Support development on data platforms such as: Data warehouses / data lakes

Assist with table design, schema changes, and performance optimization

Ensure data consistency and reliability

3. Cloud & Tooling Support

Work with cloud data platforms (Azure / AWS – training provided)

Support CI/CD, scheduling, and automation for data workflows

Follow coding standards and best practices

4. Collaboration

Work closely with Data Engineering and Data Analysts (to support reporting and dashboards)

Participate in requirement discussions and technical reviews

Document data pipelines and technical workflows

5. Learning & Growth

Learn modern data engineering tools and architectures

Gradually take ownership of small-to-medium data pipelines

Follow guidance from Senior Data Engineers and Tech Leads

Yêu cầu

• 1. Experience
• 1 – 2 years of experience in Data Engineering or related roles
• Fresh graduates with strong academic projects or internships are welcome
• 2. Technical Foundation
• A solid technical foundation is essential for success in data engineering roles. Candidates should demonstrate the following core competencies:
• Basic Knowledge
• SQL: Familiarity with writing queries, performing joins, and understanding basic optimization techniques.
• Relational databases: Understanding how relational databases function and their role in data management.
• Core Concepts
• ETL / data pipelines: Knowledge of Extract, Transform, Load processes and the architecture of data pipelines.
• Data warehousing fundamentals: Awareness of data warehousing principles and their importance in storing and organizing large datasets.
• Programming Skills
• Basic programming knowledge: Experience with Python or similar programming languages to support data engineering tasks.
• Nice to Have
• Exposure to Cloud platforms (Azure / AWS) and Data tools (Airflow, dbt, Spark, etc.)
• Basic understanding of analytics or AI data requirements
• 3. Soft Skills
• Logical thinking and problem-solving mindset
• Willingness to learn and adapt to new technologies
• Ability to work well in a team environment
• Attention to detail and responsibility for data quality
• 4. Education
• Bachelor’s degree in
• Computer Science, Data Engineering, Information Systems, or related fields

Quyền lợi

• 1. Career path development
• Learning & Career Development from Data Engineer (Fresher / Junio
• r) → Data Engineer → Senior Data Engineer → Data Architect / Platform Lead
• Hands-on experience with enterprise-scale data platforms
• Clear technical growth path with mentoring
• Training and support for professional certifications
• 2. Compensation & Benefits
• Competitive salary and performance bonus
• 13th-month salary
• Health insurance, paid leave, and other benefits
• Annual performance review
• 3. Work Environment
• Flexible working policy
• Working hours: Monday – Friday, 9:00 AM – 6:00 PM
• Team building, company trips, and knowledge-sharing sessions
• Why Join Datatyk
• Work on real enterprise analytics & AI projects
• Clear career growth toward
• Analytics Consultant / AI Analytics Lead
• Exposure to multiple industries and modern data platforms
• Competitive compensation and flexible working environment