SFIA Data Engineering
Completed by Ahluma Nkqayi on February 10, 2026
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Badge ID: TCW2mB73QgOltpge96IDqQ
About this Badge
List basic skills required for an entry-level data engineering role. Discuss various stages and concepts in the data engineering lifecycle. Describe data engineering technologies such as Relational Databases, NoSQL Data Stores, and Big Data Engines. Summarize concepts in data security, governance, and compliance.
Learning objectives
- Design, deploy, and manage data warehouses, data marts, and data lakes using ETL and ELT processes, and apply data warehousing architectures like star and snowflake schemas.
- Extract, transform, and load (ETL) data using Python and SQL, and demonstrate proficiency in web scraping and API utilization for data extraction.
- Create, manage, and optimize relational databases using SQL, including writing foundational SQL statements, building sub-queries, and working with advanced concepts like JOINs and ACID transactions.
- Develop and automate data pipelines using tools like Apache Airflow and Kafka, and implement database administration tasks such as backup, restore, and performance optimization.
Skills learned
- Unix Shell
- Scripting Languages
- Linux Commands
- Unix Commands
- Linux Servers
- Database Management Systems
- Database Architecture and Administration
- Integrated Development Environments
- Snowflake Schema
- Apache Kafka
- Star Schema
- Query Languages
- Stored Procedure
- Restful API
- Apache Airflow
- Apache Hadoop
- Apache Spark
- Code Review
- Transaction Processing
- Performance Tuning
- Unit Testing
- Web Scraping
- Data Integrity
- Python Programming
- Network Protocols
- Big Data
- Data Validation
- Software Installation
- MySQL
- PostgreSQL
- Data Warehousing
- Data Cleansing
- Data Integration
- Data Manipulation
- Jupyter
- NoSQL
- Scalability
- Database Systems
- Data Processing
- Database Design
- Data Pipelines
- Data Transformation
- Linux
- Data Governance
- Operating Systems
- Data Modeling
- Scripting
- File Management
- Encryption
- Databases
- SQL
- Database Management
- Automation
- Data Quality
- Data Analysis
- Data Management
- Role-Based Access Control (RBAC)
- Pandas (Python Package)
- Command-Line Interface
- Skills section collapsed. Showing 8 of 59 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.