Data Engineer

KiriminAja; Kota Yogyakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading technology company in Indonesia is seeking a Data Engineer to design, build, and maintain data warehouse systems. You will collaborate with various teams to ensure optimal data integration for analysis. The ideal candidate has a minimum of 4 years of experience, is proficient in Python and SQL, and is familiar with BI tools like Metabase and PowerBI. Position requires strong analytical skills and familiarity with Google Cloud Platform.

Qualifications

• Minimum 4 years of experience as a Data Engineer or a similar role.
• Strong understanding and hands-on experience with Data Warehouse systems.
• Experience using orchestration tools such as Airflow, Prefect, or Astronomer.

Responsibilities

• Design and build efficient data warehouse systems.
• Collaborate with data and business teams.
• Ensure optimal data integration processes for analysis.

Skills

Python

SQL

Data Warehouse systems

Business Intelligence tools

dbt

Google Cloud Platform

Airflow

Shell scripting/Linux

Tools

Metabase

PowerBI

Superset

Airbyte

Prefect

Astronomer

Job description

As a Data Engineer, you will be responsible for designing, building, and maintaining efficient data warehouse systems to support data-driven decision-making. You will collaborate with data and business teams to ensure optimal, accurate, and accessible data integration processes for analysis.

• Minimum 4 years of experience as a Data Engineer, Data Warehouse Engineer, or in a similar role.
• Strong understanding and hands-on experience with Data Warehouse systems.
• Proficient in Python and SQL for data processing and analysis.
• Experienced in using Business Intelligence (BI) tools such as Metabase, PowerBI, or Superset.
• Hands-on experience with dbt (data build tool) for data transformation.
• Familiar with Metabase for data visualization and reporting.
• Experience with Google Cloud Platform (GCP) or other cloud environments.
• Skilled in using orchestration tools such as Airflow, Prefect, or Astronomer.
• Experience using Airbyte for data integration and ingestion.
• Comfortable with Shell scripting/Linux for automation and server operations.
• Strong analytical and problem-solving skills, with the ability to collaborate effectively across teams.