Karir

Temukan Pekerjaan Impian Anda!

Bergabunglah dengan misi kami untuk menjadi platform top-up utama di dunia!, Saat ini kami telah berkembang ke lebih dari 35 negara dan mencari orang-orang berbakat untuk bergabung dengan kami di posisi berikut
Job Description

We’re looking for a Data Engineer to build and maintain scalable, high-performance data pipelines using GCP tools like BigQuery, DataFlow, Dataform/dbt, and Cloud Storage. You’ll design efficient ETL/ELT workflows, optimize data infrastructure, and ensure data quality, security, and compliance.


If you're passionate about transforming complex data into reliable insights and enabling data-driven decisions across teams, this is your opportunity to make a real impact.

Job Responsibilities
  • Design, develop, and maintain scalable data pipelines using GCP services such as BigQuery, DataFlow (Apache Beam), Dataform/dbt, and Cloud Storage.
  • Implement ETL/ELT processes for data ingestion, transformation, and loading.
  • Optimize data workflows for performance, scalability, and reliability.
  • Ensure data governance, security, and compliance best practices.
  • Collaborate with data analysts to enable seamless access to structured and unstructured data.
  • Troubleshoot and resolve data infrastructure issues, minimizing downtime and performance bottlenecks.
  • Stay up to date with industry trends and emerging technologies, continuously improving data engineering practices.
Job Requirement
  • Bachelor's degree in Computer Science, Data Science, Statistics or a related field
  • 2 years of experience in a Data Engineering or similar role
  • Strong verbal and written communication skills in Indonesian and English
  • Strong experience with Google Cloud Platform (BigQuery, Cloud Storage, Cloud Functions, etc.)
  • Hands-on experience with Dataform (or dbt)
  • Proficiency in SQL and scripting languages (e.g., Python or JavaScript)
  • Experience in version control tools (Git) and CI/CD workflows
  • Solid understanding of data warehousing principles and ETL/ELT best practices
  • Experience with orchestration tools (e.g., Airflow, Cloud Composer) is a plus
Your Information
Max 500 Character
Attachment file type must be: pdf, docx, doc.
Job Description

We’re looking for a Data Engineer to build and maintain scalable, high-performance data pipelines using GCP tools like BigQuery, DataFlow, Dataform/dbt, and Cloud Storage. You’ll design efficient ETL/ELT workflows, optimize data infrastructure, and ensure data quality, security, and compliance.


If you're passionate about transforming complex data into reliable insights and enabling data-driven decisions across teams, this is your opportunity to make a real impact.

Job Responsibilities

Design, develop, and maintain scalable data pipelines using GCP services such as BigQuery, DataFlow (Apache Beam), Dataform/dbt, and Cloud Storage.


Implement ETL/ELT processes for data ingestion, transformation, and loading.


Optimize data workflows for performance, scalability, and reliability.


Ensure data governance, security, and compliance best practices.


Collaborate with data analysts to enable seamless access to structured and unstructured data.


Troubleshoot and resolve data infrastructure issues, minimizing downtime and performance bottlenecks.


Stay up to date with industry trends and emerging technologies, continuously improving data engineering practices.


Requirement

Bachelor's degree in Computer Science, Data Science, Statistics or a related field


2 years of experience in a Data Engineering or similar role


Strong verbal and written communication skills in Indonesian and English


Strong experience with Google Cloud Platform (BigQuery, Cloud Storage, Cloud Functions, etc.)


Hands-on experience with Dataform (or dbt)


Proficiency in SQL and scripting languages (e.g., Python or JavaScript)


Experience in version control tools (Git) and CI/CD workflows


Solid understanding of data warehousing principles and ETL/ELT best practices


Experience with orchestration tools (e.g., Airflow, Cloud Composer) is a plus

Job Requirement

Bachelor's degree in Computer Science, Data Science, Statistics or a related field


2 years of experience in a Data Engineering or similar role


Strong verbal and written communication skills in Indonesian and English


Strong experience with Google Cloud Platform (BigQuery, Cloud Storage, Cloud Functions, etc.)


Hands-on experience with Dataform (or dbt)


Proficiency in SQL and scripting languages (e.g., Python or JavaScript)


Experience in version control tools (Git) and CI/CD workflows


Solid understanding of data warehousing principles and ETL/ELT best practices


Experience with orchestration tools (e.g., Airflow, Cloud Composer) is a plus

Your Information
Max 500 Character
Attachment file type must be: pdf, docx, doc.
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