Power BI Data Engineer (Intermediate): ETL & Dashboards

Hiree

Kuala Lumpur

On-site

MYR 70,000 - 110,000

Full time

14 days+

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Job summary

Jora Malaysia is seeking a Power BI Developer with data engineering experience in Kuala Lumpur to design, build, and maintain analytics solutions. You will develop dashboards, optimize data pipelines, and collaborate with business users to translate reporting requirements into scalable data models.

Proficiency in SQL and Power BI is mandatory, with exposure to ETL/ELT tools and modern data platforms. This role offers hands-on analytics work and opportunities to contribute to data quality and

Qualifications

  • Power BI and SQL required; hands-on experience with ETL/ELT pipelines.
  • Experience designing data models, DAX measures and semantic models.
  • Ability to integrate data from multiple sources and ensure data quality.

Responsibilities

  • Develop and maintain Power BI dashboards and reports.
  • Design and maintain ETL/ELT data pipelines.
  • Build data models, DAX measures, and semantic models.
  • Develop SQL queries, stored procedures, and views.
  • Integrate data from multiple sources and ensure performance.
  • Collaborate with business users to deliver analytics solutions.

Skills

Power BI Desktop
Power BI Service
DAX
Power Query
JOINs
Stored Procedures
Views
Window Functions
ETL/ELT development
Microsoft Fabric Data Engineering
SSIS
Other ETL tools
Data Warehouse concepts
Dimensional modelling
Git or Azure DevOps
Microsoft Fabric
Python
PySpark
REST APIs

Tools

Microsoft Fabric Data Engineering
SSIS

Job description

Jora Malaysia is seeking a Power BI Developer with data engineering experience in Kuala Lumpur to design, build, and maintain analytics solutions. You will develop dashboards, optimize data pipelines, and collaborate with business users to translate reporting requirements into scalable data models.

Proficiency in SQL and Power BI is mandatory, with exposure to ETL/ELT tools and modern data platforms. This role offers hands-on analytics work and opportunities to contribute to data quality and

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