Data Engineering Fundamentals
Build robust data infrastructure skills through comprehensive hands-on training. Master the core technologies that power modern data engineering systems.
Complete Infrastructure Foundation
Duration & Format
14 weeks of intensive training with hands-on projects and real-world applications
- • 3 sessions per week
- • 4 hours per session
- • Evening and weekend options
- • Hybrid in-person and remote
Investment
¥268,000
Comprehensive program including all materials and cloud resources
- • Payment plans available
- • Corporate training discounts
- • Career transition support
This comprehensive 14-week program establishes your foundation in data engineering through practical application of core technologies. You'll work with databases, data warehousing systems, and pipeline development tools that form the backbone of modern data infrastructure.
Master SQL for complex data manipulation, Python and Scala for data processing at scale, and learn to implement Apache Spark, Kafka, and Airflow for building production-ready data pipelines. Every concept is reinforced through hands-on projects using real datasets and industry-standard cloud platforms.
Career Advancement Opportunities
Junior Data Engineer
Entry-level positions at growing tech companies and startups focusing on data pipeline development
Data Platform Engineer
Mid-level roles building and maintaining data infrastructure at established enterprises
Senior Data Engineer
Advanced positions architecting large-scale data systems at major technology companies
Graduate Success Metrics
Core Technologies & Tools
Programming Languages
Data Processing Frameworks
Cloud Platforms
Data Storage Systems
Quality Standards & Best Practices
Data Security Protocols
- Encryption at rest and in transit
- Access control and authentication
- Data governance compliance
- Audit logging and monitoring
Pipeline Reliability
- Error handling and recovery
- Data validation and testing
- Performance monitoring
- Disaster recovery planning
Who Should Enroll
Recent Graduates
Computer science, mathematics, or engineering graduates seeking to specialize in data engineering careers
Software Developers
Experienced programmers looking to transition into data engineering roles and big data technologies
Data Professionals
Data analysts and scientists wanting to expand into infrastructure and pipeline engineering skills
Progress Monitoring & Assessment
Weekly Assessments
Hands-on coding challenges and technical problem-solving exercises
- • Code review sessions
- • Performance benchmarking
- • Peer collaboration projects
Portfolio Projects
Build real-world data engineering solutions using production datasets
- • E-commerce data pipeline
- • Streaming analytics platform
- • Data lake implementation
Industry Certifications
Prepare for and earn recognized professional certifications
- • AWS Certified Data Engineer
- • Google Cloud Professional
- • Databricks Certified Developer
Career Readiness
Interview preparation and job search support
- • Technical interview practice
- • Resume optimization
- • Industry networking events
Explore Other Programs
Continue your data engineering journey with advanced specializations
Big Data & Distributed Systems
Scale your engineering skills with distributed computing and big data technologies in this 16-week advanced program.
Cloud Data Platform Architecture
Architect modern data platforms with cloud-native solutions and serverless architectures in this 12-week specialized program.
Ready to Master Data Engineering?
Join our comprehensive fundamentals program and build the skills that power modern data systems