Process Mining Developers are truly the "magicians" of data transformations. They utilize advanced data engineering techniques to make operational data speak human language.
Process Mining Developer responsibilities
- Perform data discovery to understand available data sources.
- Validate and ensure the quality of raw data.
- Configure extraction methods using specialized tools or interfaces.
- Refine and clean data for analysis.
- Transform data by adding entities, activities, attributes, metrics, and tags.
- Create validation tests for data and activities.
- Track version history using version control systems.
- Upload data to production environment.
- Collaborate with subject matter experts (SMEs) for validation and refinement.
- Grant user access to applications and schedule data refreshes.
- Implement new data transformations or refine dashboards iteratively.
- Hand over projects to other Process Mining Developers for updating and maintenance.
- Set up the development environment for process mining. (optional)
Process Mining Developer career path
- Bachelor's degree in computer science, data science, or related fields.
- Proficiency in data analysis and manipulation using tools like SQL, Python.
- Experience with data visualization tools such as Tableau or Power BI.
- Knowledge of business process management (BPM) concepts and frameworks.
- Excellent communication and collaboration skills for cross-functional teamwork.
What is my learning journey as a Process Mining Developer?
Prerequisite: Should have knowledge about Data Manipulation Technologies (SQL), Tableau/PowerBI, BPM.
Process Mining Developer Training
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