Data Engineer

PT. Sarimelati Kencana Tbk.; Jakarta Selatan; On-site; IDR 279,000,000 - 468,720,000; Full time

Job summary

PT. Sarimelati Kencana Tbk. is seeking a Data Engineer to manage and optimize data pipelines, integrate data from diverse sources into our Big Data platform, and develop ETL/ELT processes for accurate, consistent data.

You will collaborate with multiple teams to understand data requirements, support our data warehouse, and contribute to AI-driven data initiatives with reliable data sources and pipelines.

Qualifications

• Bachelor’s degree in Information Technology, Information Systems, Computer Science, or related field.
• 1–2 years hands-on experience in Data Engineering or related data role.
• Strong proficiency in SQL and at least one programming or scripting language (Python or Java).
• Good understanding of databases, data warehouse concepts, and ETL/ELT processes.
• Familiar with building, maintaining, and monitoring data pipelines in a cloud environment; GCP experience is a strong advantage.
• Good understanding of data quality principles and their practical application.
• Basic understanding of AI/ML concepts and interest in AI-driven data solutions.
• Able to communicate and collaborate with both technical and non-technical stakeholders.
• Detail-oriented, curious, proactive, and eager to learn and grow in data engineering.

Responsibilities

• Manage, monitor, and maintain existing data pipelines for reliable data processing, and develop new pipelines as needed.
• Extract and integrate data from multiple sources into the company’s Big Data platform.
• Develop and maintain ETL/ELT processes for data accuracy and consistency.
• Collaborate with cross-functional teams to understand data requirements and deliver data solutions.
• Support development and improvement of the data warehouse and data platform.
• Monitor data platform performance and optimize as needed.
• Maintain data quality standards across BI teams and data stakeholders.
• Create and maintain data dictionaries and technical documentation.
• Assist AI-driven initiatives by preparing reliable data sources and pipelines.

Skills

SQL

Python/Java

Analytical thinking

Communication

Problem-solving

Education

Bachelor’s degree in Information Technology / Information Systems / Computer Science

Tools

Google Cloud Platform (GCP)

Braze

Job description

Job Descriptions :

• Manage, monitor, and maintain existing data pipelines to ensure reliable and efficient data processing, while developing new pipelines as business needs evolve.
• Extract and integrate data from multiple sources into the company’s Big Data platform.
• Develop and maintain ETL/ELT processes to ensure data is accurate, consistent, and ready for use.
• Collaborate with cross-functional teams to understand data requirements and deliver effective data solutions.
• Support the development and continuous improvement of the company’s data warehouse and data platform.
• Monitor data platform performance, identify potential issues or anomalies, and perform optimization when needed.
• Maintain and promote data quality standards across BI teams, Data Analysts, Data Scientists, and other data stakeholders.
• Create and maintain data dictionaries, technical documentation, and other data-related references.
• Support AI-driven initiatives by preparing and integrating reliable data sources and data pipelines required for AI-based solutions.

Requirements :

• Bachelor’s degree in Information Technology, Information Systems, Computer Science, or a related field.
• 1–2 years of hands-on experience in Data Engineering or a related data role.
• Strong proficiency in SQL and at least one programming or scripting language, preferably Python or Java.
• Good understanding of databases, data warehouse concepts, and ETL/ELT processes.
• Familiar with building, maintaining, and monitoring data pipelines in a cloud environment; experience with Google Cloud Platform (GCP) is a strong advantage.
• Good understanding of data quality principles and their practical application in data processes.
• Basic understanding of AI/ML concepts and an interest in supporting AI-driven data solutions.
• Strong analytical thinking and problem-solving skills.
• Able to communicate and collaborate effectively with both technical and non-technical stakeholders.
• Detail-oriented, curious, proactive, and eager to learn and grow in data engineering and emerging technologies.
• Experience integrating data pipelines with customer engagement or marketing platforms, such as Braze or similar tools, including API-based data integration, is a plus.