Join Stay22 as a Senior ML/DL Developer in the Neuro Squad. Design and optimize AI solutions, enhancing affiliate platform performance and user experience.
About the role
- Senior SQL Database Developer & Administrator at NexaMotion Group, handling database design and optimization for SQL Server environments.
Responsibilities
- Design, develop, and maintain SQL Server databases, schemas, tables, views, functions, and stored procedures.
- Translate business and application requirements into scalable, high-performance data models.
- Implement and refactor database logic to balance performance, maintainability, and correctness.
- Lead modernization efforts to reduce reliance on legacy stored procedures and transition to cloud-native data architectures on AWS.
- Participate in database code reviews and architectural discussions.
- Diagnose and resolve query performance issues using execution plans, indexing strategies, and statistics.
- Proactively monitor and tune performance for high-volume and mission-critical workloads.
- Identify and mitigate blocking, deadlocks, and concurrency issues.
- Own SQL Server installation, configuration, and ongoing maintenance.
- Design and maintain backup, restore, and recovery strategies.
- Manage upgrades, patches, and version lifecycle planning.
- Manage logins, roles, and permissions using least-privilege principles.
- Monitor database health, capacity, and resource utilization.
- Serve as an escalation point during production incidents.
- Partner closely with application developers, DevOps, and infrastructure teams.
Requirements
- 8+ years of hands-on experience with SQL Server in production environments.
- Expert-level T-SQL skills and deep understanding of query optimization.
- Strong experience with: Relational data modeling, Indexing strategies and execution plans, Transactions, isolation levels, and concurrency.
- Proven experience administering SQL Server, including: Backups and restores, Patching and upgrades, Security and permissions.
- Experience supporting high-availability, business-critical systems.
- Familiarity with ETL tools (e.g., SSIS) and data warehousing concepts.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies, with a preference to AWS.
- Excellent communication, problem-solving, and decision-making skills.
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