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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Data Engineer (ETL) - Remote from Bali

Vertere Global Solutions, Inc.
Bali
Salary Estimate
Rp 15.000.000 – Rp 25.000.000
Newest
Live Update
5 Juli 2026
Deadline
5 Jul 2027

job description

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 innovation.

In this role, you will collaborate with cross-functional teams to develop robust data solutions, ensuring high-quality data integration and transformation. This is a unique opportunity to work remotely from the vibrant and inspiring environment of Bali while contributing to global projects.

If you are passionate about data engineering and eager to work in a dynamic, forward-thinking company, we would love to hear from you!

Responsibility

  • Design, develop, and maintain scalable ETL pipelines to support data integration and analytics.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
  • Optimize data workflows for performance, reliability, and scalability.
  • Implement data quality checks and monitoring to ensure accuracy and consistency.
  • Automate data processes to improve efficiency and reduce manual intervention.
  • Troubleshoot and resolve data pipeline issues in a timely manner.
  • Document data processes, pipelines, and technical specifications.
  • Stay updated with emerging trends and technologies in data engineering.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer with a focus on ETL processes.
  • Proficiency in SQL and experience with data warehousing solutions (e.g., Snowflake, Redshift).
  • Hands-on experience with ETL tools (e.g., Informatica, Talend, Apache NiFi).
  • Strong programming skills in Python, Java, or Scala.
  • Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Excellent problem-solving and analytical skills.
  • Ability to work independently and collaboratively in a remote setting.

Required Skills

ETL SQL Data Pipelines Python Data Warehousing Apache Spark Data Quality Automation

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