Big Data Engineer
びっぐでーたえんじにあ
Industry & Occupation
Classification
Summary
An engineer who designs, builds, and operates system infrastructure capable of collecting, processing, and analyzing massive amounts of data.
Description
Big Data Engineers leverage distributed processing frameworks such as Hadoop and Spark, as well as streaming platforms, to build and operate system infrastructure for collecting, transforming (ETL), storing, and delivering large-scale data. They integrate diverse technical elements to deliver reliable data pipelines, including data quality and performance optimization, ensuring scalability in cloud environments, and compliance with data governance and security requirements. They collaborate with data scientists and analysts on building analysis infrastructure and real-time processing platforms.
Future Outlook
With the proliferation of IoT and AI, data volumes are surging, and demand for real-time processing infrastructure and cloud-native technologies is expected to grow further. Emphasis on data governance and security will be crucial, maintaining high market value.
Personality Traits
Curious and inquisitive / Good at logical thinking / Good team player / Patient / Problem-solving oriented
Work Style
Flex Time / Full Remote / In-house Development / Project-based Work / SIer
Career Path
Junior Big Data Engineer → Big Data Engineer → Senior Big Data Engineer → Data Architect / Tech Lead → Project Manager → Data Engineering Manager / CDO
Required Skills
Big Data Processing / Linux Basic Operations / Programming Languages / RDBMS/SQL / Stream Processing
Recommended Skills
CI Pipeline Construction / Cloud Platforms (Big Data Services) / Container Orchestration / Database Design / Infrastructure as Code / NoSQL
Aptitudes (Strengths Preferred)
| Item | Description |
|---|---|
| Analytical & Logical Thinking | Logical thinking is essential for architecting large-scale data processing. |
| Attention to Detail & Accuracy | To ensure data accuracy and quality. |
| Learning Agility & Knowledge Acquisition | Big data technologies evolve rapidly, requiring continuous learning. |
| Problem Solving | Essential for diagnosing processing errors and performance issues. |
Aptitudes (Weaknesses Acceptable)
| Item | Description |
|---|---|
| Physical Stamina & Endurance | Primarily desk work with low physical demands. |
Related Qualifications
- AWS Certified Data Analytics – Specialty
- Applied Information Technology Engineer
- Database Specialist
- Fundamental Information Technology Engineer
- Google Professional Data Engineer
Aliases
- Big Data Specialist
- Data Engineer
- Data Platform Engineer
Related Jobs
- Cloud Engineer
- Data Analyst
- Data Scientist
- Database Engineer