Quick talent / information service tech stack
Quick talent / information service builds mostly with SQL, Python. Its stack also includes Amazon ECS, Databricks, Amazon Aurora, BigQuery. SQL is named in 5 of the 5 job postings Quick talent / information service published in the last 12 months (100%). Counted by Alion from the job postings of Quick talent / information service, updated Oct 18, 2026.
What programming languages does Quick talent / information service use?
SQL is named in 100% of job postings at Quick talent / information service, followed by Python (80%).
What frameworks and libraries does Quick talent / information service use?
Scikit-learn is named in 80% of job postings at Quick talent / information service, followed by Transformers (80%), Streamlit (60%).
What databases does Quick talent / information service use?
Amazon Aurora is named in 80% of job postings at Quick talent / information service, followed by BigQuery (80%), Google BigQuery (80%), MySQL (80%).
Amazon Aurora
4 80%
BigQuery
4 80%
Google BigQuery
4 80%
MySQL
4 80%
Snowflake
3 60%
Amazon Redshift
1 20%
What cloud and platforms does Quick talent / information service use?
Amazon ECS is named in 80% of job postings at Quick talent / information service, followed by Databricks (80%), GCP (80%), MLFlow (80%).
What developer tools does Quick talent / information service use?
Copilot is named in 80% of job postings at Quick talent / information service, followed by Devin (80%), OpenAI Codex (80%), pySpark (80%).
What AI and ML technologies does Quick talent / information service use?
Claude is named in 20% of job postings at Quick talent / information service.
Claude
1 20%
Which engineering practices does Quick talent / information service ask for?
CI/CD is named in 60% of job postings at Quick talent / information service, followed by ETL/ELT (60%).
What does each Quick talent / information service team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
4 postingsHow does your stack fit Quick talent / information service?
How is the Quick talent / information service stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Quick talent / information service stack?
Quick talent / information service scores 82 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How common is the Quick talent / information service stack in its industry?
Share of the 1,422 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Quick talent / information service apart
Companies with a stack like Quick talent / information service
Questions about the Quick talent / information service tech stack
What programming languages does Quick talent / information service use?
The languages named in Quick talent / information service job postings are SQL (100%), Python (80%), as a share of the 5 postings of the last 12 months.
Does Quick talent / information service use Scikit-learn?
Yes. Scikit-learn is named in 4 of 5 job postings (80%) and required in 4 of them.
What cloud and platforms does Quick talent / information service use?
The cloud and platforms named in Quick talent / information service job postings are Amazon ECS (4), Databricks (4), GCP (4) (postings in brackets).
What skills do you need for a Data Science job at Quick talent / information service?
Data Science postings at Quick talent / information service most often require Amazon Aurora (4), Amazon ECS (4), BigQuery (4), Copilot (4), out of 4 postings in the last 12 months.
Is the Quick talent / information service tech stack changing?
No new technology has appeared in Quick talent / information service job postings in the last six months.
How modern is the Quick talent / information service tech stack?
Quick talent / information service scores 82 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the Quick talent / information service tech stack?
Alion reads every job posting Quick talent / information service publishes and tags the technologies each one names. The figures on this page count the 5 postings of the last 12 months and were updated on Oct 18, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Quick talent / information service tech stack: 26 technologies from 5 job postings", as of Oct 18, 2026. https://alion.io/company/919-jp/technologies