Database Administrator

Do you want to work on cutting-edge projects with the world’s best IT engineers? Do you wish you could control which projects to work on and choose your own pay rate? Are you interested in the future of work and how the cloud will form teams? If so - the Gigster Talent Network is for you.

Our clients rely on our Network for two main areas, Software Development and Cloud Services. In some cases, they need help building great new products, in others they want our expertise in migrating, maintaining, and optimizing their cloud solutions.

At Gigster, whether working with entrepreneurs to realize ‘the next great vision’ or with Fortune 500 companies to deliver a big product launch, we build really cool enterprise software on cutting-edge technology.

The Role

Responsibilities –
• Lead Database administration and optimize relational databases (e.g., SQL Server).
• Support ERP database migrations, upgrades, and performance tuning.
• Conduct database performance tuning, indexing, and query optimization for
relational and analytical workloads.
• Analyze and recommend performance optimization strategies for single and multi-tenant database
environments.
• Assess and recommend VM and disk configurations in cloud platforms like Azure and AWS for optimal
performance.
• Help DevOps team automate routine database tasks for cloud-hosted and on-premises databases.
• Set up and maintain database replication strategies, including transactional replication for real-time
updates and scaling. Ensure data availability, consistency, and integrity across ERP systems and analytics
platforms.

Requirements and Qualifications:
• 8+ years of strong experience in DB engineering, administration and production
operations on cloud specifically MS SQL.
• Hands-on experience with cloud database solutions and infrastructure in Azure
and AWS, including optimizing VM and disk configurations for cost and
performance.
• Database performance tuning and optimization.
• Expertise in high-availability (HA) clusters, read replica management, and
transactional replication.
• Proficiency in SQL and one or more programming languages, such as
Python/Bash.
• Knowledge of data modelling, data quality, data security, and data governance
principles and practices.
• Familiarity with database monitoring and database DevOps tools (Ex: Datadog,
Grafana, Azure Monitor).
• Strong analytical, problem-solving, and communication skills.