Data Engineer: Build Scalable Pipelines & Warehouses

Kumparan; Jakarta Pusat; On-site; IDR 180,000,000 - 240,000,000; Full time

Job summary

Kumparan is seeking a Data Engineer to design, build, and maintain robust data pipelines and analytics data warehouses. You will work with SQL, Python, and cloud technologies to develop ETL/ELT processes, implement data quality checks, and optimize data flows for analytics across the organization.

The role emphasizes collaboration with analysts, engineers, and business stakeholders to transform raw data into reliable insights using BigQuery, dbt, Airflow, and other modern tools.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/IT/Engineering.
• 1–3 years in Data Engineering, Data Analytics, or related tech role.
• Experience building and optimizing ETL/ELT pipelines.
• Experience with relational databases, data warehouses, and large datasets.
• Understanding data modeling, transformation, and integration concepts.
• Familiarity with batch processing and basic data orchestration workflows.
• Experience integrating data from databases, APIs, and files.
• Knowledge of data quality, validation, and monitoring.
• Familiarity with cloud platforms such as GCP, AWS, or Azure.

Skills

SQL

Python

Data Warehousing

ETL/ELT Development

Workflow Orchestration

Data Transformation

Data Modeling

Cloud Technologies

Version Control

Data Quality

Problem-Solving

Collaboration

Education

Bachelor's degree in CS/IT/Engineering

Tools

PostgreSQL

MySQL

BigQuery

Airflow

Mage.ai

dbt

Git

Job description

Kumparan is seeking a Data Engineer to design, build, and maintain robust data pipelines and analytics data warehouses. You will work with SQL, Python, and cloud technologies to develop ETL/ELT processes, implement data quality checks, and optimize data flows for analytics across the organization.

The role emphasizes collaboration with analysts, engineers, and business stakeholders to transform raw data into reliable insights using BigQuery, dbt, Airflow, and other modern tools.