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Job Description:
Design, deploy, and manage Windows Servers and SQL Server databases in Azure and AWS.
Develop and maintain SQL queries, stored procedures, functions, and triggers.
Design, build, and optimize ETL/ELT data pipelines, data marts, and data warehouses.
Ensure data accuracy, consistency, security, and governance across all systems.
Monitor and optimize database performance, including indexing, query tuning, and schema design.
Implement high availability and disaster recovery (HA/DR) solutions.
Automate data workflows and integrate with CI/CD and DevOps pipelines.
Support cloud migrations, data warehouse, and lakehouse projects.
Troubleshoot and resolve database and data pipeline issues.
Create and maintain technical and operational documentation.
Collaborate with business users, analysts, vendors, and IT teams to deliver scalable data solutions.
Lead automation and reporting initiatives to deliver actionable insights.
Provide production support and participate in incident response and on-call rotations.
Business Analysis & Project Support
Gather and analyze business requirements and translate them into technical solutions.
Identify project risks and propose mitigation strategies.
Estimate timelines, budgets, and support business case development.
Manage project execution, scope changes, and stakeholder communication.
Prepare project documentation, functional specifications, and test plans.
Lead system testing, user acceptance testing (UAT), and user training.
Act as a key support contact to ensure timely issue resolution and continuous improvement.
Job Requirements:
Bachelor's degree in Computer Science, IT, or a related field.
Microsoft SQL Server or Azure Database certification (required)
Minimum 5 years of experience as a SQL Server Data Engineer or DBA.
Strong hands-on experience with Microsoft SQL Server (2016 or newer) and Azure SQL Database.
In-depth knowledge of SQL Server HA/DR technologies.
Strong expertise in database design, data modeling, and SQL development.
Proven experience in performance tuning, query optimization, and indexing strategies.
Experience designing and managing ETL/ELT pipelines and data warehousing solutions.
Hands-on experience with cloud platforms (Azure and/or AWS).
Proficiency in T-SQL and PowerShell scripting for automation and maintenance.
Familiarity with other databases such as MySQL, Oracle, PostgreSQL, MongoDB is a plus.
Snowflake experience is an added advantage.
Strong troubleshooting and analytical skills across infrastructure and data layers.
Excellent documentation, communication, and stakeholder management skills.
Ability to work independently and collaboratively in remote or hybrid environments.
Willingness to support on-call rotations and critical production issues.
HOW TO APPLY:
Interested applicants, please click on Apply Now and provide the below details in your resume.
We regret only shortlisted candidates will be notified.
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Trust Recruit Pte Ltd
EA License No: 19C9950
EA Personnel: Jordan Fung Si Jong
EA Personnel Reg No: R23112945
Job ID: 136094489