Qualifications:

1. Bachelor Degree (S1) in Computer Science, Information System, Statistics, Mathematics or related field
2. 1-2 years of experience in data engineering, with exposure to ETL processes, data warehousing, or database management.
3. Proficiency in programming languages: Python and SQL
4. Experience with application orchestration Docker and Kubernetes is a plus
5. Experience with API integration techniques and tools for data extraction, including RESTful APIs, JSON, and OAuth.
6. Have basic understanding and familiar with data pipeline, data modeling, ETL processes, and data warehousing concepts.
7. Familiarity with cloud platforms such as AWS, Google Cloud Platform for deploying and managing data pipelines, and Snowflake, Google BigQuery for data warehouse.
8. Excellent problem-solving skills and ability to work independently and in a team environment.
9. Willingness to learn and develop technical skills, with strong attention to detail.
10. Effective communication skills to collaborate with team members and stakeholders.

Main Responsibilities:

1. Design, develop, and maintain data transformation processes to cleanse, transform, and aggregate data within the data warehouse. 
2. Optimize and streamline data workflows to ensure efficient data processing and storage in the data warehouse. 
3. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and implement appropriate data transformations. 
4. Develop and maintain data warehouse schemas, tables, and views to support reporting and analytics needs. 
5. Implement data governance policies and standards to ensure data quality, security, and compliance.  
6. Monitor data warehouse performance, troubleshoot issues, and optimize for scalability and efficiency.