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Data Engineer

PT Sea Group

Indonesia

On-site

IDR 200.000.000 - 300.000.000

Full time

Yesterday
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Job summary

A leading technology company in Indonesia is seeking a Data Engineer responsible for designing, developing, and maintaining ETL programs. In this role, you will process large data volumes from global products and optimize performance issues. Collaboration with various teams, including data analysts and platform engineers, is key. You will ensure data compliance and enhance data services to influence both users and internal stakeholders. This position offers a dynamic work environment with impactful responsibilities.

Responsibilities

  • Collect data from various data sources, clean and ingest them into data warehouse.
  • Design data warehouse models and ETL pipelines.
  • Deep dive into data jobs with performance issues, figure out the root cause, and optimize them.
  • Collaborate with data analysts and external users for use cases.
  • Collaborate with data platform engineers on platform features.
  • Manage data, scripts, and documentation according to compliance rules.
Job description

As a data engineer, you are responsible for designing, developing, testing, and maintaining ETL (extract-transform-load) programs. We are using these programs every day to handle a large amount of data coming from our products worldwide. Your work will influence users of our products as well as internal staffs from other departments. You will work collaboratively with other colleagues to make decisions on technologies and product features.

Responsibilities
  • Collect data from various data sources, clean and ingest them into data warehouse
  • Design data warehouse models and ETL pipelines. Develop, delivery and maintain data jobs using various technologies
  • Deep dive into data jobs with performance issue, figure out the root cause, and optimize them accordingly
  • Collaborate with data analysts and external users, understand and normalize their use cases on each data service, build and maintain development frameworks accordingly
  • Collaborate with data platform engineers, build and maintain data engine of platform features
  • Manage data, scripts and documentation in accordance with compliance rules
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