Rahmat tech stack

Rahmat builds mostly with SQL, Python, PHP. Its stack also includes Airflow, Superset, Redis, Laravel. SQL is named in 3 of the 3 job postings Rahmat published in the last 12 months (100%). Counted by Alion from the job postings of Rahmat, updated Oct 31, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 31, 2026
Technologies in use
19
Postings analysed
3
Open now
1
Modernity
73 /100

What programming languages does Rahmat use?

SQL is named in 100% of job postings at Rahmat, followed by Python (67%), PHP (33%).

SQL 3 100% required in 100% · 1 open now · since Aug 2026
Python 2 67% required in 100% · 1 open now · since Aug 2026
PHP 1 33% required in 100% · since Oct 2026

What frameworks and libraries does Rahmat use?

Laravel is named in 33% of job postings at Rahmat.

Laravel 1 33% required in 100% · since Oct 2026

What databases does Rahmat use?

Redis is named in 33% of job postings at Rahmat.

Redis 1 33% required in 100% · since Oct 2026

What cloud and platforms does Rahmat use?

Airflow is named in 67% of job postings at Rahmat, followed by Superset (67%), Amazon S3 (33%), Apache Kafka (33%).

Airflow 2 67% required in 100% · 1 open now · since Aug 2026
Superset 2 67% required in 100% · 1 open now · since Aug 2026
Amazon S3 1 33% required in 100% · since Oct 2026
Apache Kafka 1 33% required in 100% · since Oct 2026
RabbitMQ 1 33% required in 100% · since Oct 2026

What developer tools does Rahmat use?

Docker is named in 33% of job postings at Rahmat, followed by Git (33%), Rest API (33%), Xdebug (33%).

Docker 1 33% required in 100% · since Oct 2026
Git 1 33% required in 100% · since Oct 2026
Rest API 1 33% required in 100% · since Oct 2026
Xdebug 1 33% required in 100% · since Oct 2026
PHPUnit 1 33% optional · since Oct 2026
Pest 1 33% optional · since Oct 2026

Which engineering practices does Rahmat ask for?

ETL/ELT is named in 67% of job postings at Rahmat, followed by CI/CD (33%), Gitflow (33%).

ETL/ELT 2 67% required in 100% · 1 open now · since Aug 2026
CI/CD 1 33% required in 100% · since Oct 2026
Gitflow 1 33% required in 100% · since Oct 2026

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How modern is the Rahmat stack?

Modern 73/100

Rahmat scores 73 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.

How common is the Rahmat stack in its industry?

Share of the 901 companies in the same industries, whose stack Alion knows, that use each technology.

SQL71%
Airflow8%
Python64%
Superset4%
Amazon S318%
Apache Kafka35%
Laravel3%
PHP17%
RabbitMQ19%
Redis26%

Questions about the Rahmat tech stack

What programming languages does Rahmat use?

The languages named in Rahmat job postings are SQL (100%), Python (67%), PHP (33%), as a share of the 3 postings of the last 12 months.

Does Rahmat use Airflow?

Yes. Airflow is named in 2 of 3 job postings (67%) and required in 2 of them.

What cloud and platforms does Rahmat use?

The cloud and platforms named in Rahmat job postings are Airflow (2), Superset (2), Amazon S3 (1) (postings in brackets).

Is the Rahmat tech stack changing?

No new technology has appeared in Rahmat job postings in the last six months.

How modern is the Rahmat tech stack?

Rahmat scores 73 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.

How does Alion know the Rahmat tech stack?

Alion reads every job posting Rahmat publishes and tags the technologies each one names. The figures on this page count the 3 postings of the last 12 months and were updated on Oct 31, 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, "Rahmat tech stack: 19 technologies from 3 job postings", as of Oct 31, 2026. https://alion.io/company/multicard-payment/technologies

Licence: CC BY-SA 4.0JSON