Description
Plan and design the structure of a data warehouse or lake technology solution.
Optimize the model to ensure predictable performance.
Build and Manage ETL/ELT/Data Pipeline Ingestion process from various Data Sources.
Write and review good quality and version-controlled codes.
Ensuring data quality for data warehouse.
Coordinating and collaborating with cross-functional teams for the smooth functioning of an enterprise data warehouse.
Crave for new technologies with fast learning and understanding processes.

Requirements
At least 4 years of hands-on experience in data engineering roles or roles that touch many aspects of the data lifecycle.
Experience in data modeling in both transactional and data warehousing environments.
Excellent coding abilities in Python and SQL.
Have at least years of experience working in cloud technologies (e.g. GCP/AWS/Azure).
Have to experience building data pipelines and managing data warehouses in the cloud.
Have experience in airflow.
Excellent communication skills, both in Bahasa Indonesia and English.