Data Engineer Level I
Summary
Designs, builds, and maintains scalable data pipelines and infrastructure on GCP to ensure clean, high-quality data for analytics and ML initiatives.
Medela Potentia · South Tangerang, Banten, Indonesia
Health and Human Services · 1,001-5,000 employees
2 d ago
About the role
The Data Engineer is responsible for designing, building, and maintaining scalable data infrastructure and pipelines. They ensure data quality and integrity while supporting analytics and machine learning initiatives for stakeholders.
What they look for
- Data Engineering
- ETL
- Data Warehousing
- GCP Cloud Solutions
- Data Pipelines
- Data Quality
- Data Integrity
- Analytical Skills
- Logical Thinking
- OWB ODI
- Computer Science
- Information Technology
Requirements
Candidates must hold a Bachelor's degree in Computer Science, Information Technology, or a relevant discipline from a top university. At least one year of professional experience as a Data Engineer or ETL Developer is required, along with expertise in cloud solutions like GCP.
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.