Data Engineer Practitioner SFIA
Completed by Tersh Boichoki Kgaphola on March 19, 2026
Verified learner ·
Badge ID: EksaHr0SQJ2LGh69ErCdDQ
About this Badge
Prepare for a career as a Data Engineer. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required.
Learning objectives
- Design, deploy, and manage data warehouses and data lakes using ETL and ELT processes, and apply data warehousing architectures like star and snowflake schemas.
- Utilize Python libraries such as Matplotlib and Seaborn to create various data visualizations, including line plots, scatterplots, and histograms.
- Execute Linux commands and develop shell scripts for task automation, including scheduling cron jobs and managing file systems.
- Implement and query NoSQL and relational databases, perform data transformations, and build data pipelines using tools like Apache Airflow and Kafka.
Skills learned
- IBM Cognos Analytics
- MySQL Workbench
- Interactive Data Visualization
- Applied Machine Learning
- Linux Administration
- Unix Shell
- Linux Commands
- Unix Commands
- Relational Databases
- Advanced Analytics
- Operational Databases
- Data Visualization Software
- Extract, Transform, Load
- Convolutional Neural Networks
- Database Architecture and Administration
- Generative Model Architectures
- Integrated Development Environments
- Model Evaluation
- Snowflake Schema
- Style Guides
- Shell Script
- Apache Kafka
- Scatter Plots
- Star Schema
- AI Enablement
- IBM DB2
- Query Languages
- Stored Procedure
- Disaster Recovery
- Responsible AI
- Artificial Intelligence
- Data Storage Technologies
- Apache Hadoop
- Apache Spark
- Apache Airflow
- Apache Cassandra
- Apache Hive
- Code Review
- IBM Cloud
- Transaction Processing
- Distributed Computing
- Predictive Modeling
- Performance Tuning
- Web Scraping
- Supervised Learning
- Unit Testing
- Data Integrity
- Data Synthesis
- Statistical Visualization
- Python Programming
- Network Protocols
- OS Process Management
- Unsupervised Learning
- User Accounts
- Statistical Reporting
- Generative AI
- Data Mining
- Data Presentation
- Big Data
- Data Lakes
- Data Preprocessing
- Data Validation
- Prompt Engineering
- System Monitoring
- Database Administration
- Regression Analysis
- File Systems
- Machine Learning
- Dashboard
- Kubernetes
- MySQL
- PostgreSQL
- Seaborn
- Unix
- Data Store
- Data Warehousing
- Data Cleansing
- Data Integration
- Data Manipulation
- Data Mart
- Data Migration
- Histogram
- Jupyter
- MongoDB
- Debugging
- Graphing
- JSON
- Matplotlib
- NoSQL
- PySpark
- Scalability
- Data Architecture
- Software Installation
- Database Systems
- Data Processing
- Business Intelligence
- Database Design
- Development Environment
- Skills section collapsed. Showing 9 of 98 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.