Data Engineer: Build ETL/ELT Pipelines & BI-Ready Data

PT.Japfa Comfeed Indonesia; Surabaya ꦱꦸꦫꦧꦪ; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading agricultural company in Surabaya seeks a Data Engineer to design, develop, and maintain ETL/ELT pipelines. The ideal candidate will collaborate with analytics teams to define data requirements and have strong SQL skills along with proficiency in data integration tools. A bachelor's degree in IT or related field is required, and fresh graduates are welcome. This role involves ensuring data accuracy and supporting business intelligence tools using cloud platforms.

Qualifications

• Bachelor's degree in a relevant field; Master’s degree is a plus.
• Experience in data engineering or data transformation is a plus; Fresh graduates are welcome.
• Proven experience in designing and maintaining ETL/ELT pipelines.
• Hands-on experience with cloud-based data platforms.
• Strong proficiency in SQL and at least one programming language.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines for data ingestion and transformation.
• Collaborate with teams to define data requirements and translate them into technical solutions.
• Ensure data accuracy and compliance with governance policies.
• Automate data workflows and monitor performance.

Skills

SQL

Python

ETL/ELT tools

Data modeling

Data integration

Education

Bachelor’s degree in Information Technology, Information Systems, or related field

Master’s degree

Tools

dbt

Informatica

Talend

Apache Airflow

Snowflake

Databricks

Google BigQuery

Amazon Redshift

Azure Synapse

Git

Jenkins

Job description

A leading agricultural company in Surabaya seeks a Data Engineer to design, develop, and maintain ETL/ELT pipelines. The ideal candidate will collaborate with analytics teams to define data requirements and have strong SQL skills along with proficiency in data integration tools. A bachelor's degree in IT or related field is required, and fresh graduates are welcome. This role involves ensuring data accuracy and supporting business intelligence tools using cloud platforms.