Data Engineer

**Ideal Candidate Profile

A reporting-focused Data Engineer with strong SSRS development experience,

solid MSSQL and SSIS skills, and practical exposure to system integration,

PowerShell automation, SFTP file transfers, and PGP/GPG encryption, capable

of supporting both project delivery and production operations in a banking or

enterprise environment.

Location: Kuala Lumpur

Salary Range : RM 4000 - RM 6000**

Education

• Bachelors Degree in Computer Science, Information Technology, Software Engineering, Data Engineering, or related disciplines.

Experience

• Minimum 3 to 5 years of experience in Microsoft SQL Server technologies.

• Strong hands-on experience in SSRS report development.

• Experience supporting production reporting environments.

• Banking or financial services experience is an advantage.

Technical Skills

MSSQL Scripting (T-SQL), Stored Procedures, SSIS, SQL Server Agent, PowerShell,

SSH / SFTP File Transfer, PGP/GPG Encryption & Decryption, MSSQL Administration, Python Scripting

Technical Competencies

SQL Server Reporting Services (SSRS) – Intermediate (Primary Skill)

• Report development and maintenance.

• Paginated reports.

• Parameterised reports.

• Subscriptions and scheduling.

• Dataset and data source management.

• Report performance optimisation.

• Troubleshooting reporting issues.

• User requirement analysis and report design.

Microsoft SQL Server (MSSQL) – Intermediate

• Advanced T-SQL.

• Stored Procedures.

• Functions.

• Views and Triggers.

• Query optimisation and tuning.

• SQL Server Agent job support.

SQL Server Integration Services (SSIS) – Intermediate

• ETL package development.

• Data migration and transformation.

• Package deployment and troubleshooting.

• Scheduling and automation.

System Integration – Intermediate

• Interface development and support.

• Data mapping and reconciliation.

• File-based integration.

• Batch processing support.

Preferred Skills

• Power BI.

• Data Warehouse (DWH) concepts.

• Azure Data Factory.

• Azure SQL Database.

• Banking and financial reporting systems.

Key Success Indicators

• Timely delivery of business and regulatory reports.

• High report accuracy and data integrity.

• Improved report performance and user satisfaction.

• Stable ETL and integration processes.

• Efficient incident resolution and production support.