Kualifikasi:
- 3–5 years of practical, production-level data-engineering experience.
- Background in F&B, retail, or startups (poin plus)
- Strong SQL and Python (pandas, numpy).
- Familiar with APIs (REST, JSON, auth) and orchestration tools (Airflow, Prefect, Dagster).
- Experience with cloud warehouses (BigQuery, Snowflake, Redshift, Databricks).
- Understands schema design, partitioning, and cost-efficient queries.
- Experience with dbt or similar frameworks (poin plus)
- Exposure to event streaming : Kafka, Pub/Sub, Kinesis (poin plus)
- Will be Placement in Jakarta/Malang