Data Engineer
でーたえんじにあ
Industry & Occupation
Classification
Summary
Designs, builds, and operates the infrastructure for collecting, processing, and storing corporate data, providing a data environment suitable for analysis and AI utilization.
Description
Data Engineers collect data from various sources and create and manage clean, consistent data through ETL (Extract, Transform, Load) or ELT processes. They build big data infrastructure using cloud services and distributed processing platforms, optimizing performance and scalability. They collaborate with data scientists and analysts to provide data environments for analysis, reporting, and machine learning models.
Future Outlook
With the promotion of DX and the expansion of AI utilization, demand for data infrastructure development is increasing. Expertise in real-time processing and serverless/cloud-native technologies will be increasingly required in the future.
Personality Traits
Good at logical thinking / Has cooperativeness / Motivated to learn continuously / Problem-solving oriented
Work Style
Flex Time / Full Remote / In-house Development / Project-based / SIer
Career Path
Junior Data Engineer → Senior Data Engineer → Data Architect → Data Engineering Lead → Head of Data / Data Manager
Required Skills
Database Management / ETL Tools / Linux Basic Operations / Programming Languages / Stream Processing
Recommended Skills
CI Pipeline Construction / Cloud Platforms (Data Services) / Container Orchestration / English Documentation Reading / IaC (Terraform)
Aptitudes (Strengths Preferred)
| Item | Description |
|---|---|
| Analytical & Logical Thinking | Because it is necessary to logically design complex data processing flows. |
| Attention to Detail & Accuracy | Because small mistakes in data quality or schema design can have a significant impact. |
| Learning Agility & Knowledge Acquisition | Because it is necessary to continuously acquire new frameworks and cloud services. |
| Numerical & Quantitative Analysis | Because quantitative analysis skills are needed for statistical characteristics of large amounts of data and performance optimization. |
| Problem Solving | Because the ability to identify and resolve causes of data processing or performance issues is required. |
Aptitudes (Weaknesses Acceptable)
| Item | Description |
|---|---|
| Physical Stamina & Endurance | Because it is mainly desk work with low physical demands. |
Related Qualifications
- AWS Certified Data Analytics – Specialty
- Applied Information Technology Engineer
- Fundamental Information Technology Engineer
- Google Professional Data Engineer
- Microsoft Certified: Azure Data Engineer Associate
Aliases
- BI Engineer
- Data Infrastructure Engineer
- Pipeline Engineer
Related Jobs
- BI Engineer
- Data Scientist
- Database Engineer
- ETL Engineer