Data Engineer (ETL) - Remote from Bali

Vertere Global Solutions, Inc. · 📍 Bali · Diposting 2026-10-03

FULL_TIME⭐ TERVERIFIKASI

Rp 15000000 - Rp 25000000 per bulan

Join Vertere Global Solutions, Inc. as a Data Engineer (ETL) and play a pivotal role in shaping our data infrastructure. We are seeking a talented professional with strong ETL expertise to design, build, and optimize scalable data pipelines that drive business insights and decision-making. Based in Bali, this is a remote-first position offering competitive compensation and growth opportunities.

As a Data Engineer (ETL) at Vertere Global Solutions, Inc., you will work closely with cross-functional teams to collect, process, and analyze vast amounts of data. Using tools like Apache Airflow, Talend, or Informatica, you will build and maintain robust ETL pipelines that ensure data integrity and availability. This role is perfect for someone passionate about data engineering and looking to make a significant impact in a dynamic and innovative environment.

📋 Tanggung Jawab Pekerjaan

Design, develop, and maintain scalable ETL pipelines using tools like Apache Airflow, Talend, or Informatica.
Ensure data integrity and availability by implementing data quality checks and monitoring processes.
Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver actionable insights.
Optimize ETL processes to improve performance and reduce processing time.
Troubleshoot and resolve data pipeline issues to minimize downtime and ensure smooth operations.
Document ETL processes, data flows, and system architecture for future reference and knowledge sharing.
Stay updated with the latest trends and best practices in data engineering and ETL.
Participate in code reviews and contribute to the continuous improvement of data infrastructure.

🎓 Kualifikasi & Syarat

Bachelor's degree in Computer Science, Information Technology, or a related field.
3-5 years of experience in data engineering, ETL development, or a similar role.
Strong proficiency in ETL tools such as Apache Airflow, Talend, or Informatica.
Solid understanding of data warehousing concepts and database technologies (e.g., SQL, PostgreSQL, MySQL).
Experience with cloud platforms like AWS, Azure, or Google Cloud is a plus.
Knowledge of scripting languages like Python or Java is beneficial.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.