Job description
What You Will Do:
- Design data warehouse structures to meet data analytics and data science requirements.
- Develop and maintain robust ETL pipelines to populate data in the data warehouses.
- Collaborate effectively with stakeholders and cross-functional data team members to architect, develop, and maintain advanced reporting and data visualization capabilities.
- Leverage large volumes of data to support analytics and improve business processes.
- Implement best practices in data engineering, including data integrity, quality assurance, and documentation.
- Apply strong analytical skills to collect, organize, analyze, and present structured and unstructured datasets with high accuracy.
Job requirements
What We Are Looking For:
- Minimum of 3 years of experience as a Data Engineer.
- Strong knowledge of data modeling for efficient architecture and cloud database design.
- Excellent SQL querying skills and proficiency in at least one programming language (Python preferred).
- Experience with Cloud Data technologies (GCP or AWS), data warehouse solutions (BigQuery or Redshift), and BI tools (Metabase, Tableau).
- Experience building data pipelines and creating ETL/ELT workflows using tools such as Airflow, Talend, or Pentaho.
- Demonstrated interest in applying AI implementations to business use cases.
- Excellent English communication skills, both written and verbal.
- Understanding of data infrastructure is a strong plus.
Benefits
- Competitive salary & performance bonus
- BPJS Kesehatan & Ketenagakerjaan
- Private health insurance
- Paid annual leave & sick leave
- Hybrid / flexible working arrangement
- Professional development & training support
- Career growth opportunities in a fast-growing fintech company
- Laptop / work equipment provided
- Team bonding & company events
- Dynamic and collaborative work environment
Job information
Education
Bachelor Degree (S1)
Experience level
Associate
Minimum experience
3 years
Gender
No Qualification
Published date
20 Jul 2026