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Data Engineer - SQL - Azure Database - Snowflake

TRUST RECRUIT PTE. LTD.

Singapore

On-site

SGD 70,000 - 90,000

Full time

2 days ago
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Job summary

A recruitment agency in Singapore is looking for a skilled SQL Server Data Engineer with extensive experience in managing SQL databases in Azure and AWS. The successful candidate will design and optimize ETL/ELT pipelines, ensure data accuracy, and provide project support by gathering business requirements and managing stakeholder communications. A Bachelor's degree in Computer Science or related fields and at least 5 years of SQL Server experience are essential for this role.

Qualifications

  • 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.

Responsibilities

  • Design, deploy, and manage Windows Servers and SQL Server databases in Azure and AWS.
  • Gather and analyze business requirements and translate them into technical solutions.
  • Monitor and optimize database performance, including indexing, query tuning, and schema design.

Skills

Microsoft SQL Server
Azure SQL Database
T-SQL
PowerShell scripting
ETL/ELT pipelines
Cloud platforms (Azure/AWS)
Database design
Performance tuning
Data modeling

Education

Bachelor’s degree in Computer Science, IT, or a related field

Tools

SQL Server
AWS
Azure
MySQL
Oracle
PostgreSQL
MongoDB
Job description
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

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