SkillTrendLab
Skill · Data engineering · Foundations and problem-solving

ETL

Extracting, transforming and loading data.

6.7%
of core AI postings mention it
236
postings
182
companies

History starts on September 11, 2026. Movement needs a comparable later edition at least 30 days on.

Where it is mentioned most

Each row divides by that role's postings in this edition, highest share first.

Reading this edition

Postings in 9 role families mention ETL in this edition.

In 1 of the 8 role families with a page of their own, at least one posting in five mentions ETL: Data Scientist 22.5%.

ETL is more concentrated in Data Scientist postings (22.5%) than across all core AI postings (6.7%): at least twice the overall share.

ETL is more concentrated in LLM / NLP Engineer postings (13.7%) than across all core AI postings (6.7%): at least twice the overall share.

How the readings are made: "more concentrated than overall" means that in a role family with a page of its own, at least 10 postings mention the skill and its share is at least 2 times its share of all core AI postings; "common" means at least 20% of a role's postings mention it. They describe the postings open in this edition, not a trend.

  1. MLOps / Platform Engineer23.7%
    9 of 38 postings · Sample below the page threshold; not read
  2. 34 of 151 postings · at least twice overall
  3. 24 of 175 postings · at least twice overall
  4. 124 of 1,741 postings
  5. 6 of 113 postings
  6. 9 of 225 postings
  7. 10 of 321 postings
  8. 8 of 305 postings
  9. 1 of 123 postings

Skills that appear with it

Each share divides by the postings that mention ETL: how many of them also mention each skill, grouped into three lenses.

Foundations and problem-solving

Categories: Languages, Machine learning, Data engineering, Databases, Methods and process

  1. Python85.6%
    Languages · 202 postings
  2. SQL51.7%
    Languages · 122 postings
  3. Methods and process · 106 postings
  4. Machine learning · 91 postings
  5. Data engineering · 70 postings

Production and delivery

Categories: DevOps, Cloud, Tools

  1. Git44.9%
    Tools · 106 postings
  2. Docker41.9%
    DevOps · 99 postings
  3. AWS31.8%
    Cloud · 75 postings

Framework, LLM and domain signals

Categories: Frameworks, LLM applications, Domain knowledge, Office software

  1. LLM51.7%
    LLM applications · 122 postings
  2. RAG44.9%
    LLM applications · 106 postings
  3. LLM applications · 84 postings
  4. LLM applications · 71 postings

Industries and places

Share of this skill's postings.

Industry
  1. Software & Internet
    86
    36.4%
  2. Electronics & Hardware
    42
    17.8%
  3. Finance & Insurance
    33
    14.0%
  4. Manufacturing
    14
    5.9%
  5. Semiconductor
    14
    5.9%
  6. Wholesale, Retail & E-commerce
    11
    4.7%
  7. Healthcare & Biotech
    9
    3.8%
  8. Construction & Real Estate
    7
    3.0%
  9. Consulting & Marketing Services
    7
    3.0%
  10. Telecom, Media & Digital Content
    6
    2.5%
  11. Professional Services
    5
    2.1%
  12. Logistics & Transport
    1
    0.4%
Place
  1. Taipei
    132
    55.9%
  2. New Taipei
    34
    14.4%
  3. Taichung
    16
    6.8%
  4. Hsinchu County
    14
    5.9%
  5. Hsinchu City
    11
    4.7%
  6. Kaohsiung
    10
    4.2%
  7. Taoyuan
    7
    3.0%
  8. Tainan
    4
    1.7%
  9. Changhua
    4
    1.7%
  10. Yunlin
    2
    0.9%
  11. Miaoli
    1
    0.4%

Where this number is read from

Of the 236 postings, how many were found through the employer's own skill tags, the title, and the job description. A posting can carry more than one kind of evidence, so the three add up to more than the posting count.

  1. Employer's skill tags
    42
  2. Job title
    0
  3. Job description
    218
The data on this page
Data as of
September 11, 2026
Core AI postings this edition
3,523
Method version
2026.09.1

This page is not indexed yet: change needs a second edition.