Lead Data Engineer – ETL, BI & SAP

PT Yupi Indo Jelly Gum; Gunung Putri; On-site; IDR 240,000,000 - 480,000,000; Full time

Job summary

PT Yupi Indo Jelly Gum is seeking a Data Engineer to design, develop, and maintain scalable ETL pipelines from ERP/SAP systems into centralized data stores. You will build data warehouses and models to support reporting and analytics, and create dashboards using Power BI and Amazon QuickSight.

The role requires strong SQL skills, SAP BDC experience, and familiarity with AWS data services. Proficiency in Python or R is a plus, with 3–5 years of relevant experience.

Qualifications

• Bachelor's degree in IT, CS, Data Science, Statistics or related field.
• 3–5 years of experience in Data Engineering, BI, or related roles.
• Advanced SQL skills: complex joins, window functions, and optimization.
• Experience with SAP (BDC) and BI tools like Power BI and Amazon QuickSight.
• Familiarity with AWS data ecosystem and basic Python or R is a plus.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines from ERP/SAP into centralized data stores.
• Build and optimize data warehouse structures, data marts, and data models for reporting and analytics.
• Create dashboards/reports using BI tools (Power BI, QuickSight) to drive insights.
• Write and optimize complex SQL queries across multiple sources including data lakes.
• Monitor pipelines for performance, accuracy, and reliability; troubleshoot issues as they arise.

Skills

SQL expertise

SAP BDC experience

BI tools (Power BI, AWS QuickSight)

Python or R basics

Data modeling & ETL

Education

Bachelor's degree in IT/CS/Data Science/Statistics

Tools

SAP BDC

Power BI

Amazon QuickSight

AWS (S3/Redshift/Athena/RDS)

Python

Job description

PT Yupi Indo Jelly Gum is seeking a Data Engineer to design, develop, and maintain scalable ETL pipelines from ERP/SAP systems into centralized data stores. You will build data warehouses and models to support reporting and analytics, and create dashboards using Power BI and Amazon QuickSight.

The role requires strong SQL skills, SAP BDC experience, and familiarity with AWS data services. Proficiency in Python or R is a plus, with 3–5 years of relevant experience.