Database Architect

TL;DR

Database Architect: Developing and supporting a cloud platform project for fraud prevention in remote service systems with an accent on performance and response time requirements. Focus on working with PostgreSQL and ClickHouse databases, designing data architectures, and ensuring efficient data storage and processing strategies.

Компания

Kaspersky Fraud Prevention is a high-load, real-time cloud system with strict performance and response time requirements.

Что делать

• Develop and support applications in Python (3.11).
• Design and implement data architecture for business tasks.
• Work with PostgreSQL and ClickHouse databases.
• Create and support database queries.
• Develop and implement data storage and processing strategies.

Требования

• Experience with Python.
• Understanding of DBMS principles for PostgreSQL and ClickHouse.
• Experience in designing data architecture.
• Ability to create and optimize database queries.
• Analytical and problem-solving skills.
• Familiarity with database tools (e.g., psycopg2, psql, DBeaver).

Хорошо, если есть

• Knowledge of other databases, including NoSQL and distributed databases.
• Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes).
• Knowledge of Big Data technologies (e.g., Hadoop, Spark).
• Experience with data visualization tools.
• Proactive and creative approach.