Urgent! Data Engineer (Azure/ SQL) PW123

TRUST RECRUIT PTE. LTD.; Singapore; Hybrid; SGD 70,000 - 90,000; Full time

Job summary

A recruitment firm is seeking an experienced SQL Server Data Engineer to design and manage SQL databases in Azure and AWS. The candidate will develop SQL queries and monitor database performance while collaborating with teams to provide scalable data solutions. Required qualifications include a bachelor’s degree in a related field, a minimum of 5 years' experience, and strong knowledge of SQL and cloud technologies. The role offers a hybrid work model, supporting flexibility for critical issues.

Qualifications

• Minimum of 5 years’ experience as a SQL Server Data Engineer or Administrator.
• Microsoft SQL Server Certification required.
• Ability to work independently in remote or hybrid environments.

Responsibilities

• Design, deploy, and manage SQL Server databases in Azure and AWS.
• Develop and maintain SQL queries, stored procedures, and functions.
• Monitor and optimize database performance, including indexing and query tuning.

Skills

Azure SQL DB

T-SQL

PowerShell

Disaster recovery

Performance tuning

Education

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

Tools

Microsoft SQL Server

MySQL

Oracle

PostgreSQL

MongoDB

Job description

Highlights

• MNC + AWS + VB

• Hybrid

• Windows & SQL Server databases in Azure and AWS

• Monitor and optimize database performance

• Support cloud migrations, data warehouse, and lakehouse projects

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, Information Technology, or a related field.

• Minimum of 5 years’ experience as a SQL Server Data Engineer or Administrator.

• Microsoft SQL Server Certification (e.g., Microsoft Certified: SQL Server DBA or Azure Database Administrator Associate) is required.

• Ability to work independently and collaboratively in remote or hybrid environments with flexibility to support critical issues and on-call rotations when needed.

Technical Requirements

• Professional experience with Azure SQL DB and Microsoft SQL Server 2016, 2017, 2019, or newer.

• Strong knowledge of SQL Server high availability and disaster recovery technologies.

• Strong understanding of database design principles, data modeling, and database development, including experience with SQL and database programming languages.

• Solid understanding of performance tuning, query optimization, and index strategies.

• Strong understanding of database design principles, data modeling, and database development, including experience with SQL and database programming languages.

• 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.

• Snowflake implementation knowledge will be value added.

HOW TO APPLY

Interested applicants, please email to “[e-mail]”.

We regret only shortlisted candidates will be notified.

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