Job description for Data Engineer at KBB Automotive
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.
