Data Engineer

Key Responsibilities:

• Design and maintain data pipelines (ETL/ELT) to integrate data from various sources.
• Develop and optimize Data Warehouse and Data Lake for analytics and reporting.
• Implement batch and streaming data integration using Apache Kafka, Debezium (CDC), or similar technologies.
• Maintain data integration processes to ensure data accuracy, reliability, and availability.
• Prepare technical documentation for data architecture, pipelines, and integration processes.
• Collaborate with cross-functional teams to support business data needs.

Qualifications:

• Bachelor’s degree (S1) in Computer Science, Information Technology, Information Systems, or related fields.
• Minimum 1–2 years of experience in Data Engineering, ETL/ELT, Data Warehouse, or Data Integration.
• Proficient in SQL and at least one programming language, such as Python, Scala, or Java.
• Good understanding of databases, data modeling, and Data Warehouse/Data Lake.
• Familiar with Apache Kafka, Debezium (CDC), or similar technologies.
• Familiar with cloud platforms such as AWS, GCP, or Azure is a plus.
• Strong analytical and problem-solving skills.
• Able to work independently and collaboratively.

⚠️ Important Notice: Karya Bahana Group does not charge any fees during the recruitment process. Please beware of recruitment fraud.

Skills: Microsoft SQL Server, Data Processing, Data Engineering, Python, Data Integration, ETL