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 2+ years in 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