Data Engineer Level I
Summary
Builds and maintains data pipelines, warehouses, and ETL workflows on GCP to deliver clean, reliable data for analytics and ML teams.
The Data Engineer plays a crucial role in developing data pipelines, ensuring data quality and integrity, and supporting analytics and machine learning initiatives by making clean, well-structured data accessible to stakeholders and data teams.
- Integrate and perform comprehensive testing during solution deployment to ensure system reliability and performance.
- Design the technical architecture of proposed solutions and collaborate with other IT teams for development and implementation.
- Proactively monitor and troubleshoot operational data processes to ensure smooth and timely execution.
- Identify and implement solutions to improve efficiency, prevent issues, and enhance data processing and quality.
- Research and propose new technologies or methods for more reliable and scalable data processing.
- Prepare clear and detailed documentation for data architecture, schemas, procedures, and process workflows.
- Bachelor in Computer Science, Information Technology, or relevant disciplines from a top university
- Minimum 1 year of working experience as a Data Engineer or ETL Developer
- Strong analytical skills & high sense of logical thinking
- Experience developing data warehouse schemas with OWB, ODI, or other enterprise ETL technologies
- Have expertise and experience with a cloud solution, preferably a GCP Platform.
- Able to work individually as well as in a team
- Willing to work onsite & fulltime in Bintaro, Tangerang Selatan