Aromatny Mir
amwine.ru
Actively hiring
Spirits & Distilled Beverages
Retail & Shop Systems
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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Overview
Aromatny Mir is a prominent Russian alcohol retail chain headquartered in Moscow and established in 1998. The company manages an extensive network of specialized wine markets and an e-commerce platform providing a diverse range of wines, spirits, craft beers, and associated food items. Operating more than 900 stores across numerous cities in Russia, the organization utilizes both direct ownership and franchising strategies to serve a broad consumer base in the domestic market.
Tech stack
Technologies named in job postings at Aromatny Mir over the last 12 months, by layer, with the share of postings for each.
Technologies in use
18
Postings analysed
4
Stack modernity
78/100
Languages
1C
Python
SQL
Frameworks & libraries
NumPy
Pandas
Scikit-learn
Databases
Amazon Redshift
Cloud & platforms
AWS
Amazon S3
Amazon SageMaker
Azure
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Full Aromatny Mir tech stack
18 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
82/100
Scaling fast
Open positions
4
7 opened / 2 closed in 30 days
Median time-to-fill
8 days
faster than 72% of the market
ATS activity
Every ~1 days
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Field & Service
43% ▲
Data Science
14% ▲
Analytics
14% ▲
Finance
14% ▲
Sales
14% ▲
Actively hiring for Field & Service (+3 in 30 days)
Activity Timeline
Added 1C to stack
Sep 2026
Added Outlook to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Moscow
Moscow
Russia
HQ
Контакты
4 open roles 7 posted in 90 days 50% engineering
hires for Field & Service, Data Science, Analytics
121108, Москва, ул. Ивана Франко, д. 8. БЦ Kutuzoff Tower
Jobs
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≈ $23k – $55k per year (Estimated) • In office • Full-Time • Moscow
Python
SQL
pySpark
Databases
Amazon Redshift
AI/ML
Weights & Biases
Spark
MLFlow
Scikit-learn
Pandas
NumPy
Amazon SageMaker
DevOps
Yandex Cloud
Azure
CI/CD
AWS
Docker
Amazon S3
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