Data Engineer Level I

To design, build, and maintain scalable and reliable data infrastructure that enables efficient data collection, storage, and processing across the organization. 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

1. Integrate and perform comprehensive testing during solution deployment to ensure system reliability and performance.
2. Design the technical architecture of proposed solutions and collaborate with other IT teams for development and implementation.
3. Proactively monitor and troubleshoot operational data processes to ensure smooth and timely execution.
4. Identify and implement solutions to improve efficiency, prevent issues, and enhance data processing and quality.
5. Research and propose new technologies or methods for more reliable and scalable data processing.
6. Prepare clear and detailed documentation for data architecture, schemas, procedures, and process workflows.
    

1. Bachelor in Computer Science, Information Technology, or relevant disciplines from a top university
2. Minimum 1 year of working experience as a Data Engineer or ETL Developer
3. Strong analytical skills & high sense of logical thinking
4. Experience developing data warehouse schemas with OWB, ODI, or other enterprise ETL technologies
5. Have expertise and experience with a cloud solution, preferably a GCP Platform.
6. Able to work individually as well as in a team
7. Willing to work onsite & fulltime in Bintaro, Tangerang Selatan