Files
skillfactor-pipeline af05383bb1 chore: v1 baseline - full 3,039-package catalog with AI-skill enrichment and O*NET backfill
Snapshot before the quality program (relevance gates, tiered mapping,
QA linter). v1 is the immutable before/after reference; evidence crawl
was at ~175/3039 occupations when tagged.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PDKeXvpT6tENSvyQGLV1Uq
2026-07-09 05:32:49 +02:00

3.5 KiB

Competences — microelectronics materials engineer

Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/e6dfc67e-331e-4468-a249-347a08decbdb).

Essential

  • abide by regulations on banned materials (skill/competence)
  • analyse big data (skill/competence)
  • analyse test data (skill/competence)
  • apply soldering techniques (skill/competence)
  • apply statistical analysis techniques (skill/competence)
  • artificial neural networks (knowledge)
  • basic chemicals (knowledge)
  • characteristics of waste (knowledge)
  • chemistry (knowledge)
  • data mining (knowledge)
  • data models (knowledge)
  • develop hazardous waste management strategies (skill/competence)
  • dispose of soldering waste (skill/competence)
  • electrical engineering (knowledge)
  • electronics (knowledge)
  • emergent technologies (knowledge)
  • environmental legislation (knowledge)
  • environmental threats (knowledge)
  • hazardous waste treatment (knowledge)
  • hazardous waste types (knowledge)
  • inspect semiconductor components (skill/competence)
  • join metals (skill/competence)
  • machine learning (knowledge)
  • manage data (skill/competence)
  • manufacturing processes (knowledge)
  • materials engineering (knowledge)
  • mathematics (knowledge)
  • mechanical engineering (knowledge)
  • microassembly (knowledge)
  • microelectronics (knowledge)
  • microsystem test procedures (knowledge)
  • nanomaterials (knowledge)
  • perform chemical experiments (skill/competence)
  • perform data analysis (skill/competence)
  • perform data mining (skill/competence)
  • perform laboratory tests (skill/competence)
  • physics (knowledge)
  • precision measuring instruments (knowledge)
  • principles of artificial intelligence (knowledge)
  • read engineering drawings (skill/competence)
  • record test data (skill/competence)
  • report analysis results (skill/competence)
  • semiconductors (knowledge)
  • sensors (knowledge)
  • test materials (skill/competence)
  • test microelectromechanical systems (skill/competence)
  • types of metal (knowledge)
  • types of plastic (knowledge)
  • use specific data analysis software (skill/competence)
  • work with chemicals (skill/competence)

Optional

  • adjust engineering designs (skill/competence)
  • advise on pollution prevention (skill/competence)
  • advise on waste management procedures (skill/competence)
  • CAE software (knowledge)
  • composite materials (knowledge)
  • conduct literature research (skill/competence)
  • create technical plans (skill/competence)
  • define manufacturing quality criteria (skill/competence)
  • design prototypes (skill/competence)
  • develop material testing procedures (skill/competence)
  • develop microelectromechanical system test procedures (skill/competence)
  • electricity principles (knowledge)
  • engineering processes (knowledge)
  • integrate new products in manufacturing (skill/competence)
  • laboratory techniques (knowledge)
  • material mechanics (knowledge)
  • micromechanics (knowledge)
  • microoptics (knowledge)
  • microsensors (knowledge)
  • nanotechnology (knowledge)
  • operate scientific measuring equipment (skill/competence)
  • optoelectronics (knowledge)
  • perform scientific research (skill/competence)
  • precision mechanics (knowledge)
  • quality standards (knowledge)
  • use CAD software (skill/competence)
  • use CAM software (skill/competence)
  • use precision tools (skill/competence)
  • use technical drawing software (skill/competence)