ETL Developer

PT. Tiga Daya Digital Indonesia - (Triputra Group) - Eksad Technology; Daerah Istimewa Yogyakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading technology firm in Indonesia seeks an experienced ETL Developer to design and maintain data pipelines. The role requires a Bachelor's degree in Computer Science, 3+ years of ETL experience, and proficiency in SQL. Candidates must be willing to work at the Yogyakarta office. This position entails optimizing ETL performance and troubleshooting data quality issues, collaborating with data architects and analysts to meet project requirements.

Qualifications

• Willing to be placed at the Yogyakarta office.
• 3+ years of experience in ETL development.
• Proficient in SQL and database technologies.

Responsibilities

• Design, develop, and maintain ETL processes.
• Optimize ETL performance for scalability.
• Troubleshoot and resolve data quality issues.

Skills

ETL development

SQL

Data modeling

Data warehousing concepts

Education

Bachelor's degree in Computer Science or related field

Tools

Informatica

Talend

SSIS

Oracle

SQL Server

PostgreSQL

Python

Shell

AWS

Azure

GCP

Job description

Job Description:

• Design, develop, and maintain ETL processes and data pipelines.
• Extract, transform, and load data from various sources into data warehouses or data lakes.
• Optimize ETL performance and ensure scalability and reliability.
• Collaborate with data architects, analysts, and other stakeholders to understand requirements.
• Troubleshoot and resolve data quality and data integration issues.

Minimum Qualifications

• Willing to be placed at the Yogyakarta office is a must
• Bachelor's degree in Computer Science, Information Systems, or related field.
• 3+ years of experience in ETL development using tools such as Informatica,
• Talend, SSIS, or similar.
• Proficient in SQL and database technologies (Oracle, SQL Server, PostgreSQL, etc.).
• Experience with scripting languages (Python, Shell) for automation.
• Strong knowledge of data modeling, data warehousing concepts, and data governance.
• Familiarity witt loud platforms (AWS, Azure, or GCP) is a plus.