Job Responsibility:

• Design, develop, and maintain robust data pipelines to move data from various databases into our data warehouse.
• Implement automated testing and monitoring to ensure data integrity, security, and compliance with data governance policies.
• Identify, design, and implement internal process improvements: redesign infrastructure for greater scalability, optimize data delivery, and automate manual processes.
• Work with stakeholders to support data infrastructure needs and assist with technical issues.

Qualifications:

• Bachelor degree in Computer Science, Information System, Data Science, or similar.
• A minimum of 5 years of experience as a Data Engineer is required, preferably in a multinational company.
• A minimum of 2 years of experience handling enterprise data lakehouses for data science, such as Snowflake and Databricks.
• Extensive knowledge of Apache Spark, Apache Iceberg, Polaris Catalogue, Range (Governance), or Phyton.
• Team player and problem solver.
• Good documentation and presentation skill.