Data Engineer: Build Reliable ETL Pipelines & Data Flows

Sagara Technology; Jakarta Pusat; On-site; IDR 180,000,000 - 360,000,000; Full time

Job summary

SAGARA Technology is a digital product studio delivering enterprise software, mobile apps, and AI-driven platforms across Southeast Asia. As a Data Engineer, you will design, build, and optimize scalable ETL/ELT pipelines to collect, transform, and load data from diverse sources.

You will work with Data Scientists, Analysts, and engineers to ensure reliable data delivery and high quality data assets. You will leverage SQL and Python to automate workflows, monitor performance, and implement

Qualifications

• Bachelor's degree in CS/IT or related field.
• Minimum 3+ years of experience as a Data Engineer or related data role.
• Strong proficiency in SQL and Python for data processing.
• Experience with ETL/ELT pipelines using Airflow, NiFi, or SSIS.
• Experience integrating data from REST APIs, databases, flat files, and semi-structured data.
• Familiarity with cloud platforms like AWS Glue, Azure Data Factory, Google BigQuery.

Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines.
• Integrate data from multiple sources and ensure data quality.
• Collaborate with Data Scientists, Analysts, and stakeholders.
• Monitor pipelines and troubleshoot SLA adherence.
• Document data pipeline architecture and workflows.

Skills

SQL

Python

ETL/ELT pipelines

REST APIs

Data integration

Data quality

SQL optimization

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Airflow

Apache NiFi

SSIS

AWS Glue

Azure Data Factory

Google BigQuery

Job description

SAGARA Technology is a digital product studio delivering enterprise software, mobile apps, and AI-driven platforms across Southeast Asia. As a Data Engineer, you will design, build, and optimize scalable ETL/ELT pipelines to collect, transform, and load data from diverse sources.

You will work with Data Scientists, Analysts, and engineers to ensure reliable data delivery and high quality data assets. You will leverage SQL and Python to automate workflows, monitor performance, and implement