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We are looking for an experienced Database Administrator / Engineer to help us support and evolve our current data landscape — while actively preparing for the future. Our existing stack is centered around Microsoft SQL Server, with dozens of active databases powering critical systems. We also use PostgreSQL, and MongoDB/MySQL are emerging on the horizon.
This role is essential as we move toward a modern architecture based on microservices, object storage (S3), lakehouse platforms, and AI/ML-enabled analytics. While deep cloud experience is welcome, our current focus is on solid engineering, automation, performance, replication, and resilience.
· Administer and optimize a large fleet of MS SQL Server instances, ensuring performance, availability, and security.
· Implement and manage replication, mirroring, and backup strategies.
· Collaborate with development, analytics, and infrastructure teams to deliver scalable data solutions.
· Support and tune PostgreSQL databases, with future involvement in MongoDB/MySQL deployments.
· Participate in architecture design for data services in a microservice environment.
· Help guide the company’s transition to cloud-native data architectures, including Data Lake / Lakehouse.
· Contribute to automation efforts (scripts, pipelines, provisioning, etc.).
· Monitor and troubleshoot production issues and perform root cause analysis (storage monitoring, network monitoring, sql profling etc.)
· Maintain and evolve database documentation, standards, and specifications with Confluence, draw.io, MD, etc.
· 5+ years of hands-on experience with database administration and engineering.
· Expert-level knowledge of MS SQL Server (2016 and later), including indexing, query tuning, procedures, replication/mirroring, AlwaysOn.
· Solid experience with PostgreSQL at the administration and development level.
· Strong understanding of database architecture, performance, and scalability best practices.
· Familiarity with cloud-native storage concepts (S3, object storage), and data lakes.
· Experience with ETL/ELT processes and data migrations.
· Working knowledge of CI/CD, Git-based workflows, and scripting.
· Effective collaboration and communication abilities.
· Clean and structured technical documentation habits.
· Language skills: Fluency in Azerbaijani, English (B2), Russian (B1).
· Familiarity with MySQL.
· Exposure to MongoDB, or other NoSQL/NewSQL platforms/technologies.
· Experience with Azure SQL or cloud-based DB environments.
· Experience with AWS RDS, Aurora, DMS, or equivalent Azure services.
· Familiarity with BI tools — we’re currently migrating from QlikView to Qlik Sense, with Power BI (and possibly Tableau) on the roadmap.
· Experience supporting data needs in insurance, finance, or other regulated domains.
· Participation in cloud/data modernization projects (e.g. building lakehouses, integrating with AI/ML pipelines).
We’re a leading insurance company undergoing a full-scale digital transformation. Our systems are rapidly evolving — from legacy to microservices, from rigid DBs to flexible, cloud-ready architectures. You’ll be at the heart of that shift. You’ll get to shape things, not just maintain them. You’ll join a small, agile team that values clean code, practical solutions, and meaningful impact.
If this sounds like your kind of challenge — let’s talk.
Send your resume or just reach out directly.
Son tarix
August 27, 2025
Paylaşılıb
iyul 18, 2025
Vakansiya növü
Tam ştat
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