Data Engineer
A data engineer is a professional who designs, builds, and maintains the infrastructure and systems for collecting, storing, processing, and analyzing large-scale data. They work with databases, ETL (Extract, Transform, Load) pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka) to ensure efficient data flow. Their role involves optimizing data storage, ensuring data quality, and enabling data scientists and analysts to access clean, structured data for insights.
Data engineers also collaborate with cross-functional teams, automate workflows, and implement cloud-based solutions (AWS, GCP, Azure). Strong programming (Python, SQL, Java/Scala) and knowledge of distributed systems are key. Their work is foundational for AI, machine learning, and business intelligence.
Where do we use Data Engineering
Business Intelligence & Reporting
Data Warehousing
Machine Learning & AI
Real-Time Analytics
IoT & Sensor Data Management
Healthcare Analytics
Finance & Fraud Detection
Government & Public Sector
Course Syllabus
- Fundamentals of Data Engineering
- Programming & Scripting
- Databases
- Data Modeling & Design
- Data Pipelines & Workflow Orchestration
- Big Data Technologies
- Data Lakes & Storage/li>
- Streaming Data & Real-time Processing
- Cloud Platforms & Services
- DevOps & CI/CD for Data Engineering
- Data Governance, Quality & Security
- Azure
- Monitoring & Logging
- Business Intelligence & Reporting Tools (for integration)
- Projects
