The Prerequisite Criteria for Job Level

The prerequisite criteria for competency assessment at different job levels typically vary based on the complexity of the tasks, responsibilities, and skills required for the position. Prerequisite criteria for competency assessment typically involve specific requirements or conditions that must be met before an individual can undergo the assessment process.

These criteria ensure that the person being assessed is prepared and meets the necessary standards to demonstrate their competence in a given area.

Summary, the prerequisites for competency assessment at each job level ensure that candidates are equipped with the appropriate qualifications, experience, and skills necessary to succeed at their respective levels of responsibility. Adding prerequisites to a competency assessment sheet is essential for several reasons, as it ensures that the assessment process is structured, transparent, and relevant to the job roles being evaluated.

Data Engineer - Job Competency Components

Here’s a breakdown of how a Job Competency Model for (Build-Up or Buy-In) Data Engineer / Big Data Engineer is typically structured:

• Professional / Job-Specific Competencies (weight 0-50%)
  • Data Programming Skills
  • SQL Programming Skills
  • Relational Database Skills
  • Non-Relational Database Skills
  • Data Migration Skills
  • Data Management Tools
  • Back-end App Development Skills
  • Cloud Computing Skills
  • Version Control & DevOps Skills
  • Back-end App Development Skills
  • Data Testing Skills
  • Job-Specific Business Domain
• Artificial Intelligence Competencies (weight 0-10%)
• Responsibility Competencies (weight 0-20%)
• Role Competencies (weight 0-10%)
• Performance Indicators (weight 0-5%)
  • Organization Contributions
  • Project Contributions
  • Quality of work (accuracy, efficiency)
  • Client or Customer Satisfaction
  • Personal Contributions
  • Team Contributions
• Behavioral Competencies (weight 0-20%)
  • Soft Skills
  • Power Skills
  • Office Tools
  • Client-based Interview Skills
  • Walk-In Interview Skills
• Knowledge and Education (weight 0-10%)
  • Job-Specific Knowledge
  • Qualification
  • Certification
  • Foreign Language Skills
• Database / Data Engineering Experiences 5%