DATA ENGINEER SUPERVISOR
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Summary
Leads data engineering work at PT Tempo Scan Pacific: building and maintaining pipelines into the data warehouse, automating testing/monitoring for data governance, and improving data infrastructure. Core stack includes Snowflake, Databricks, Apache Spark, and Apache Iceberg; requires 5+ years as a data engineer.
- 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.