DATA ENGINEER SUPERVISOR

International Beauty Products Ltd.; Indonesia; On-site; IDR 300,000,000 - 550,000,000; Full time

Job summary

International Beauty Products Ltd. is seeking a Data Engineer to design, develop, and maintain robust data pipelines into our data warehouse. The role includes automated testing, monitoring for integrity and governance, and advancing internal processes for scalability.

You will collaborate with stakeholders to support data infrastructure needs and resolve technical issues, leveraging Snowflake, Databricks, and Spark expertise.

Qualifications

• Bachelor degree in Computer Science, Information System, Data Science, or similar.
• Min 5 years as a Data Engineer, preferably in a multinational company.
• Min 2 years handling enterprise data lakehouses (Snowflake/Databricks).
• Extensive knowledge of Spark, Iceberg, governance catalogues, and Python.

Responsibilities

• Design, develop, and maintain robust data pipelines to move data into our data warehouse.
• Implement automated testing and monitoring to ensure data integrity and governance compliance.
• Identify and implement internal process improvements for scalability and automation.
• Collaborate with stakeholders to support data infrastructure needs and resolve 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)

Python

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.

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.