Tentang pekerjaan
Tanggung Jawab:
- Build and maintain data pipelines and transformations for analytics/reporting
- Create clean, structured datasets that are easy for BI tools and analysts to use
- Design data models (fact & dimension tables) for scalable analytics
- Write and manage data processes using SQL, Python, and PySpark
- Ensure data quality through validation and checks
- Optimize data performance (faster queries, efficient tables)
- Define metrics, data logic, and business rules clearly
- Work with stakeholders to turn business needs into data solutions
- Support dashboards, reporting, and self-service analytics
- Follow best practices (testing, documentation, deployment)
Kualifikasi:
- Familiar with Analytics / Data / BI Engineering
- Strong SQL and Python skills
- Experience with large-scale data tools (e.g., PySpark/Spark)
- Good understanding of data modeling (fact/dimension tables)
- Familiar with ETL/ELT pipelines and data workflows
- Experience with cloud data platforms (Fabric, AWS, or GCP)
- Understand how data is used in dashboards and analytics tools
- Able to translate business needs into data models