Senior Analytics Engineer [up to RM14K]
- Public Transport Access
- Hybrid Working (3+2)
- Financial Services Industry
about the company
Randstad has partnered with a reputable financial services organisation in Malaysia. Your future employers implement powerful data analytics tools and modern digital technology in enhancing their services to end users.
key responsibilities:
- Data Engineering: Build and manage ETL/ELT data pipelines using Azure PaaS (e.g., Azure Data Factory, Databricks).
- Lakehouse Architecture: Implement and manage our Data Lakehouse infrastructure using Azure Fabric (OneLake).
- Data Modeling: Transform raw data into clean, structured dimensional models (Star Schema) ready for analysis.
- Analytics & BI: Design and develop reports and dashboards using Power BI.
- Code & Optimization: Write advanced SQL queries, DAX measures, and Python/PySpark scripts to transform data and optimize query performance.
requirements:
- 6+ years of proven experience in Data Engineering, Analytics Engineering, or Business Intelligence.
- Strong hands-on experience with Azure PaaS data tools (ADF, ADLS Gen2, Databricks, Azure SQL).
- Practical experience working with Azure Fabric (Data Engineering and Power BI workloads).
- Expertise in Power BI, including advanced DAX, Power Query, and tabular data modeling.
- Strong proficiency in SQL and Python (or PySpark).
- Solid understanding of dimensional modeling and modern lakehouse architecture.
nice to haves:
- Experience with CI/CD deployments for data (Azure DevOps, Git).
- Project Management experience
experience
7 years
skills
Azure, Azure PaaS, Azure Fabric, PowerBI
qualifications
no additional qualifications required
education
Associate Degree/Diploma