С опытом на Python
на основе 68 вакансий
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С опытом на Python
на основе 68 вакансий
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Инженер по тестированию DWH (Python, BI)
data warehouses functional testing data warehouse architecture star schema snowflake schema Data Vault SQL skills complex queries manual tests testing data testing ETL regression testing load testing automated tests automated tests using Python
SEO-архитектор / Python-инженер автоматизации
using Python as a scaling tool SEO structure HTML CSS YML Python Excel pandas openpyxl automation of data updates using AI as a scaling tool requests selenium playwright GA4 AdvantShop Looker Studio CSV API email parsing Arsenkin Tools Ahrefs Screaming Frog CMS
QA Engineer DWH (Python, BI)
Advanced SQL skills data marts in functional testing data warehouses (DWH) in functional testing data warehouse architecture star schema data warehouse architecture snowflake schema data warehouse architecture Data Vault data warehouse architecture etc. Ability to write complex queries writing manual tests data testing ETL testing regression testing load testing writing automated tests using Python
Технический Лидер (Python)
Technical code audits Design principles (DRY) Profiling code (cProfile) Design patterns (Dependency Injection) Identifying bottlenecks Debugging asynchronous code Debugging multithreaded code Design patterns (Facade) Complex SQL queries (Common Table Expressions) Complex SQL queries (recursive queries) Profiling code (memory_profiler) Index building Execution plan analysis (EXPLAIN ANALYZE) Complex SQL queries (aggregations) Design patterns (Adapter) Complex SQL queries (window functions) Design patterns (Abstract Factory) Query optimization Senior developer role Design principles (SOLID) Design principles (KISS) Performance optimization (CPU-bound tasks) Performance optimization (I/O-bound tasks) Profiling code (py-spy) Technical leadership Python
SRE/DevOps Engineer
Bash scripting CI systems: GitLab database configuration Ansible Ansible Docker Nginx application containerization Puppet Chef database replication Linux administration CI systems: TeamCity Grafana troubleshooting in Linux Python scripting ELK CI systems: Jenkins application orchestration Prometheus
Strong Senior Python Engineer
async programming Linux systems MongoDB best practices in async programming NoSQL storages Unix systems performance optimization efficient data storage Python building robust solutions building scalable solutions managing concurrent tasks efficient data retrieval multithreaded programming relational DBMS handling complex data structures developing high-load services
Senior Python Backend Engineer (Asyncio, FastAPI, Highload)
high-load services PostgreSQL scaling high-load services Unix/Linux Python reliability MongoDB async programming event loop debugging in Unix/Linux tracing in Unix/Linux optimization in Unix/Linux scalability multithreading multithreading vs coroutines
Strong Senior Python Engineer
Unix systems Linux systems scalable solutions development robust solutions development concurrent task management data storage efficiency data retrieval efficiency async programming best practices of async programming multithreaded programming high-load services development performance optimization relational DBMS Python MongoDB NoSQL storage complex data structures
Senior Python Backend Engineer (AsyncIO, FastAPI, Highload)
Unix/Linux debugging in Unix/Linux optimizing in Unix/Linux service stability under pressure PostgreSQL high-load services multithreading event loop multithreading vs coroutines async programming deadlocks Python tracing in Unix/Linux MongoDB scaling high-load services
Strong Senior Python Engineer
MongoDB robust solutions complex data structures async programming principles concurrent tasks management data storage efficiency NoSQL-storages async programming best practices multithreaded programming performance optimization relational DBMS high-load services development async programming Linux systems data retrieval efficiency scalable solutions Python Unix systems
Senior Data Engineer (MedTech, Python)
data Python DWH SQL ETL
Middle Python Developer
Docker microservices architecture asynchronous Python development system design (reliable systems) system design (resilient systems) web application development SQL parallel computing methods PostgreSQL
Senior Backend developer
Python 3 SQL queries
IT Lead (Tech Lead Python)
system architecture preparing specifications for technical implementation Agile methodologies Kanban Agile methodologies Scrum Agile methodologies Shape Up product architecture design development with Python
Backend разработчик (Python)
using third-party services Celery application of design patterns in backend systems version control systems Selenium framework using internal services connecting internal services connecting third-party services application architecture development inter-service communication Python requests design patterns in backend systems Python 3.12
Python backend Developer
asynchronous programming paradigm Git-flow Linux Python development Git developing unit tests asyncio SQL Python 3.9+ development network protocols working with databases developing integration tests
Программист Python
Python maintainable code documented code maintainable code documented code scripting languages SQL quality code migration to Python quality code
Бекенд разработчик (Backend developer)
writing tests for your code Python 3 asynchronous programming classical algorithms data structures distributed systems message queues asyncio in Python 3
Python-разработчик
REST API Telegram bots development Python 3 Asynchrony Mobile applications principles for Android Mobile applications principles for iOS Client-server application architecture Object-Oriented Programming (OOP)
Инженер автоматизации
AI models process automation tools Python SQL IT consulting
DWH Developer / Инженер данных (PostgreSQL, ClickHouse)
ClickHouse SQL ETL/ELT processes using dbt Columnar storage Data modeling ETL/ELT processes using Airflow PostgreSQL SQL window functions Data Governance principles Data quality assurance Working with large volumes of data Data Warehouse (DWH) ETL/ELT processes using Python SQL Common Table Expressions (CTE) PostgreSQL performance PostgreSQL partitioning PostgreSQL indexing SQL query optimization
Python-разработчик
Python Memcached APIs REST APIs GraphQL optimizing storage of large volumes of data optimizing retrieval of large volumes of data live score updates non-relational databases MongoDB Redis writing parsers relational databases MySQL real-time system architecture web scraping
QA Manual Engineer
manual testing of databases manual testing of APIs manual testing of service logic REST API Postman for API testing log analysis server logs Swagger for API documentation manual testing of backend log analysis Sentry log analysis ELK Jira Confluence TestRail SQL with proficiency in simple queries writing automated tests in Python
Backend python developer
Python stack HttpCanary Fiddler repositories Postman commercial development experience device fingerprinting technologies request collections in Postman variables in Postman CharlesProxy git commands TLS fingerprinting technologies test scripts in Postman
Python-разработчик (банковский проект)
integration principles between systems understanding others' code REST API principles Git integration principles between services version control systems Python