DATA ENGINEER SUPERVISOR

PT Tempo Scan Pacific Tbk; Asia; On-site; PEN 90,000 - 150,000; Full time

Job summary

PT Tempo Scan Pacific Tbk is seeking a skilled Data Engineer to design and maintain data pipelines feeding the data warehouse. You will implement automated testing, monitoring, and governance to ensure data integrity and security while collaborating with stakeholders on infrastructure improvements.

Ideal candidates bring 5+ years in data engineering, 2+ years handling data lakehouses (Snowflake/Databricks), and deep knowledge of Spark, Iceberg, and governance tools.

Qualifications

• Bachelor degree in Computer Science, Information System, Data Science, or similar.
• Minimum 5 years of experience as a Data Engineer, preferably in a multinational company.
• Minimum 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.

Responsibilities

• 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.

Skills

Team player

Problem solving

Documentation

Presentation skills

Education

Bachelor degree in Computer Science, Information System, Data Science, or similar

Tools

Snowflake

Databricks

Apache Spark

Apache Iceberg

Polaris Catalogue

Range (Governance)

Phyton

Job description

• 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.