Deskripsi pekerjaan
- Plan, design, and implement data warehouse and/or data lake technology solutions.
- Continuously update and optimize data models to ensure the highest data quality in the data warehouse.
- Create and manage data acquisition and integration processes using ETL/ELT methods to support data ingestion and transformation.
- Write and review high-quality, version-controlled code.
- Manage day-to-day queries, requests, and issues related to the Data Warehouse environment.
- Work closely with all data and technology teams to apply the most robust and efficient solution tools, including cloud-based solutions, to deliver the best enterprise data warehouse.
- Collaborate with product, technology, and other functions to explore data solutions and adopt new technologies.
- Proficiency in operating business intelligence dashboards (such as Power BI, Tableau, or Qlik Sense) is desirable.
- A Bachelor's or Master's degree from a reputable local or overseas university with an excellent GPA.
- A minimum of 3 years of experience in data engineering roles.
- Hands-on experience in data modeling in both transactional and data warehouse environments.
- Excellent coding abilities in Python and SQL.
- At least one year of experience working with cloud technologies, such as GCP, AWS, or Azure.
- Experience in building and maintaining data pipelines using Airflow.
- Experience with Kubernetes, Data Building Tool (DBT), Machine Learning Deployment, and Data Visualization Tools (Tableau).
- Solid oral and written communication skills in both Indonesian and English.
