科技職缺
職缺列表
Аналитик данных
Data Analyst role on a Big Data team building a corporate analytics platform: designing data marts on Hadoop clusters (Scala/Spark), developing Java integration services (REST, Kafka, gRPC) on OpenShift, and analyzing, modeling, and validating data quality for back-office processing.
SRE-инженер middle
Middle SRE engineer supporting and developing infrastructure and services for a large bank's IT applications, with a focus on reliability, performance, and incident management (including on-call duties after 18:00 on Tuesdays/Fridays). Core stack: Linux, OpenShift/Kubernetes, Nginx, Kafka, PostgreSQL.
DevOps-инженер
DevOps engineer role at a Russian corporate tourism company, administering Linux infrastructure (physical and virtual), running CI/CD pipelines with Jenkins and Git, monitoring with Zabbix, and supporting a microservices ecosystem serving hundreds of thousands of users.
Главный специалист отдела моделирования и инфраструктуры данных (Data Scientist)
Lead Data Scientist at Belgazprombank in Minsk, building and deploying ML models end-to-end across tabular, RecSys, NLP, and audio domains using Python, PyTorch, scikit-learn, catboost, plus SQL, Docker, and git.
Разработчик аналитических систем (BI-аналитик)
Build BI solutions as a developer, run full-cycle ETL into DWH/AWH on SQL and Python, design and optimize reports, administer BI systems, and document data architecture. Core stack: Qlik Sense, Power BI, SQL, Python.
Аналитик данных
Build uplift models, offer scoring (propensity/value), and linear/integer-programming optimization for CRM/CVM campaigns on a 6-month data-analyst project at a Russian banking-software vendor; uses SQL (Greenplum/PostgreSQL), Python, and A/B testing.
Аналитик данных
Data analyst at a regional oncology dispensary in Orenburg, working on medical/IT project documentation and coordinating task execution. Core tools are Python, SQL, and advanced Excel.
Ведущий Data Scientist, Возвраты ML
Lead Data Scientist in Ozon Tech's Returns ML team building NLP/LLM, computer vision, and classic ML models to automate marketplace return/dispute moderation. Owns the full ML lifecycle on a Python/PyTorch stack with vLLM, Triton, ClickHouse and Airflow.
Data Engineer
Designs and maintains ETL/ELT pipelines, data warehouses, lakehouses, and feature stores; integrates heterogeneous sources (ERP, MES, PMIS) and prepares data for AI/ML/LLM workloads using Airflow, Spark, Kafka, ClickHouse, Greenplum, and PostgreSQL.
DevOps-инженер
DevOps engineer building and maintaining CI/CD pipelines (GitLab CI, GitHub Actions), managing cloud infrastructure and Linux servers, containerizing apps with Docker and Kubernetes, and handling monitoring, logging, secrets, and IaC across multiple projects.
Аналитик данных (Москва, офис)
Data Analyst in Moscow office analyzing large datasets with SQL and Python, building features for models and data marts, testing hypotheses, and working with internal stakeholders on requirements.
Full Stack Data (engineer + analyst)
Full Stack Data role (70% analytics, 30% development) at a Russian system integrator — building data marts, warehouses, and data models; designing data pipelines and SCD2 versioning; gathering requirements and creating project documentation for corporate clients.
QA Automation (IMS)
QA Automation engineer on an IMS (IP Multimedia Subsystem) telecom product team, writing backend autotests in Python (pytest, robotframework), validating SIP/Diameter/Camel protocol handling, and running load and resilience tests on Linux/Docker infrastructure.