SQL Developer

Firebird Tours

Location:

Serbia, Remote

Type:

Full-time

Salary:

negotiable

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Firebird Tours

SQL Developer

Firebird is an international online travel company that organizes trips to Europe for customers from around the world. We have a dedicated software development department that focuses on our internal products that allow everyone else to deliver some of the top-notch, worldwide services. Currently, there are a number of commercially available projects in production that are being actively worked on:
Service for booking rail tickets https://rail.ninja
Online trip builder https://triptile.com
Service for booking hotels https://travel.ninja

Requirements

Technical Skills:
– 5+ years of experience with MariaDB/MySQL and a deep understanding of database architecture and optimization
– Expert-level SQL knowledge (complex queries, window functions, CTEs, subqueries)
– Experience developing stored procedures and functions in MySQL/MariaDB
– Proficiency in performance optimization of queries and database schemas
– Strong understanding of indexing and optimization strategies for large datasets
– Experience with Flyway or similar database migration tools
– Knowledge of Linux/Unix and bash scripting for automation

Work Experience:
– 5+ years of commercial SQL development
– Experience with high-load systems (processing millions of records)
– Knowledge of database design principles and normalization
– Experience working in a team using version control systems (Git)

Personal Qualities:
– Adaptability and willingness to embrace new technologies
– Openness to innovation and modern development practices
– Commitment to continuous learning and professional growth
– Flexible thinking and the ability to quickly master new tools

Nice-to-have Technologies:
– Experience using AI agents for SQL development and optimization
– Knowledge of modern automation tools in development workflows
– Experience with Jenkins or other CI/CD systems
– Knowledge of Docker for database containerization
– Experience monitoring database performance (Percona Toolkit, pt-query-digest)
– Knowledge of NoSQL solutions (Redis, MongoDB) for caching
– Experience with cloud databases (AWS RDS, Google Cloud SQL)

Domain Knowledge:
– Experience with transportation or logistics systems
– Understanding of railway systems and scheduling
– Experience with real-time systems and data stream processing

Key responsibilities

Responsibilities:
– Developing and optimizing complex SQL queries and stored procedures
– Designing database schemas for high-load systems
– Creating and maintaining migrations using Flyway
– Optimizing performance of existing queries and indexes
– Developing bash scripts for process automation
– Leveraging modern tools and AI agents to enhance efficiency

– Analyzing query performance and identifying bottlenecks
– Monitoring database health and planning for scalability
– Profiling queries and creating optimization plans
– Working with logs and diagnosing issues

– Participating in SQL code reviews and database design reviews
– Consulting team members on database-related topics
– Documenting architectural decisions and procedures
– Mentoring junior developers in SQL and performance optimization
– Introducing new technologies and best practices to the team

What the company offers

What We Offer:
– Flexible working hours and the option to work remotely
– Modern technology stack and engaging challenges
– Opportunities for professional growth within an expert team

– Access to cutting-edge tools and technologies
– Participation in technical conferences and professional training
– Hands-on experience with modern technologies and approaches
– Ability to influence architectural decisions in the project
– Mentorship and knowledge sharing with colleagues
– Exploration and implementation of AI tools in daily workflows

Additional Information

About the Project:
We are developing a high-load train scheduling system that processes large volumes of real-time railway route data. The system is built on MariaDB and includes complex logic for caching, task queue processing, and query optimization.

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