Deskripsi pekerjaan
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Tanggung jawab: Design, develop, and maintain scalable data pipelines (ETL) to integrate data from ERP/SAP systems into centralized data repositories; Build and optimize data warehouse structures, data marts, and data models to support business reporting and analytics needs; Transform raw data into meaningful dashboards and reports using Business Intelligence tools such as Power BI and Amazon QuickSight; Write and optimize complex SQL queries to extract, transform, and analyze large datasets from multiple sources including databases and data lakes; Monitor, troubleshoot, and improve data pipeline performance while ensuring data accuracy, consistency, and system reliability; Requirement:; Bachelor’s degree in Information Technology, Computer Science, Data Science, Statistics, or a related field; Minimum 3–5 years of experience in Data Engineering, Business Intelligence, or related roles; Advanced proficiency in SQL, including complex joins, window functions, and query optimization; Experience with SAP systems (especially BDC – Batch Data Communication) and BI tools such as Power BI (DAX, Power Query) and Amazon QuickSight; Familiarity with AWS data ecosystem (S3, Redshift, Athena, RDS) and basic knowledge of Python or R is an advantage.
Tanggung jawab
- Design, develop, and maintain scalable data pipelines (ETL) to integrate data from ERP/SAP systems into centralized data repositories
- Build and optimize data warehouse structures, data marts, and data models to support business reporting and analytics needs
- Transform raw data into meaningful dashboards and reports using Business Intelligence tools such as Power BI and Amazon QuickSight
- Write and optimize complex SQL queries to extract, transform, and analyze large datasets from multiple sources including databases and data lakes
- Monitor, troubleshoot, and improve data pipeline performance while ensuring data accuracy, consistency, and system reliability
- Requirement:
- Bachelor’s degree in Information Technology, Computer Science, Data Science, Statistics, or a related field
- Minimum 3–5 years of experience in Data Engineering, Business Intelligence, or related roles
- Advanced proficiency in SQL, including complex joins, window functions, and query optimization
- Experience with SAP systems (especially BDC – Batch Data Communication) and BI tools such as Power BI (DAX, Power Query) and Amazon QuickSight
- Familiarity with AWS data ecosystem (S3, Redshift, Athena, RDS) and basic knowledge of Python or R is an advantage
Informasi lowongan
- Tipe pekerjaan
- Full-time
- Gaji
- Negosiasi