SQL Server Database Administrator at Lenovo
Central Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

05 Dec, 25

Salary

0.0

Posted On

07 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Performance Tuning, High Availability, Postgresql, Scripting, Powershell, Information Technology, Computer Science, Oracle, Mongodb, Automation, Microsoft Sql Server, Maintenance, Mysql, Analytical Skills, Query Optimization

Industry

Information Technology/IT

Description

REQUIRED QUALIFICATIONS:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Minimum of 5 years’ experience as a SQL Server Database Administrator.
  • Professional experience with Microsoft SQL Server 2016, 2017, 2019, or newer.
  • Strong knowledge of SQL Server high availability and disaster recovery technologies.
  • Solid understanding of performance tuning, query optimization, and index strategies.
  • Hands-on experience with Azure SQL databases and patch/update procedures.
  • Familiarity with other database platforms such as MySQL, Oracle, PostgreSQL, and MongoDB is a plus.
  • Proficiency in scripting (e.g., T-SQL, PowerShell) for maintenance and automation.
  • Strong troubleshooting and analytical skills across infrastructure layers.
  • Excellent documentation and communication abilities.
  • Microsoft SQL Server Certification (e.g., Microsoft Certified: Azure Database Administrator Associate) is required.

Additional Locations:

  • Singapore - Central Singapore - Singapore
  • Singapore - Central Singapore - SINGAPORE
  • Singapore
  • Singapore - Central Singapore

  • Singapore - Central Singapore - Singapore , * Singapore - Central Singapore - SINGAPOR

Responsibilities
  • Managed Windows Servers (Wintel) in AWS, overseeing the deployment, configuration, and ongoing management of cloud-based virtual machines (VMs) and instances.
  • Design, develop, and maintain SQL queries, stored procedures, functions, and triggers.
  • Optimize database performance through indexing, query tuning, and schema design.
  • Collaborate with data analysts, software developers, and business stakeholders to understand data requirements.
  • Develop ETL processes to extract, transform, and load data from various sources.
  • Ensure data accuracy, consistency, and security across all database systems.
  • Create and maintain documentation related to database structures, processes, and standards.
  • Troubleshoot and resolve database-related issues and provide ongoing support.
  • Designed large scale cloud migration on data warehousing and data lake house projects
  • Developing and debugging cloud-based data assets. Creating ETL jobs.
  • Drive analytics team to identify various opportunities to automate reporting and providing meaningful Data
  • Implemented and Design & Build Data Pipelines: Develop and optimize ETL/ELT workflows to ingest, process, and transform large datasets.
  • Data Warehousing & Modeling: Design and maintain data warehouses and implement efficient data models.
  • Cloud & Infrastructure: Deploy and manage data solutions on cloud platforms (AWS, Azure) using services like S3, Databricks etc.
  • Data Quality & Governance: Ensure data accuracy, consistency, and security through monitoring, validation, and governance practices.
  • Collaboration: Work closely with data scientists, analysts, and business teams to understand data requirements and deliver scalable solutions.
  • Performance Optimization: Improve query performance, reduce latency, and enhance system reliability.
  • Automation & CI/CD: Implement automation for data workflows and integrate with DevOps
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