Data Engineer
Summary
Design, build, and maintain scalable big data platforms and ETL/ELT pipelines (Spark, Hadoop, Kafka, cloud data warehouses) at Kalbe Farma's operations in Depok, Indonesia. A hybrid role collaborating with data scientists and analysts to keep the data infrastructure reliable and high-performing.
Our client is seeking a proficient Data Engineer to join their data-intensive operations in Depok . You will be responsible for designing, building, and maintaining scalable big data platforms and pipelines that enable data scientists and analysts to derive insights. This hybrid role offers the opportunity to work closely with a talented data team while enjoying the flexibility of remote work. You will play a crucial role in ensuring the availability, reliability, and performance of our client's data infrastructure, supporting critical business decisions.
About the Role
Our client is seeking a proficient Data Engineer to join their data-intensive operations in Depok . You will be responsible for designing, building, and maintaining scalable big data platforms and pipelines that enable data scientists and analysts to derive insights. This hybrid role offers the opportunity to work closely with a talented data team while enjoying the flexibility of remote work. You will play a crucial role in ensuring the availability, reliability, and performance of our client's data infrastructure, supporting critical business decisions.
Key Responsibilities
- Design, construct, install, and maintain robust, scalable data pipelines and ETL/ELT processes.
- Develop and optimize data models for various big data technologies and databases (e.g., Hadoop, Spark, Kafka).
- Ensure data accuracy, integrity, and consistency across all data systems.
- Collaborate with data scientists, analysts, and business stakeholders to understand their data needs and deliver solutions.
- Implement data warehousing solutions and support data governance initiatives.
- Monitor data pipeline performance, troubleshoot issues, and implement optimizations.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
- 3+ years of experience as a Data Engineer or in a similar data-focused role.
- Strong proficiency in SQL and experience with at least one programming language (e.g., Python, Scala, Java).
- Hands‑on experience with big data technologies like Apache Spark, Hadoop, Kafka, or similar.
- Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Azure Data Lake).
- Familiarity with data warehousing concepts and ETL/ELT best practices.
Benefits
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision insurance.
- Hybrid work model providing a blend of in‑office and remote flexibility.
- Opportunities for professional development and learning new technologies.
- A collaborative environment focused on leveraging data for business impact.