Data Engineer - Hybrid Role in Bali (Contract Position)

Lewis Personnel Management · 📍 Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, Badung · Diposting 2026-10-03

FULL_TIME⭐ TERVERIFIKASI

Rp 40000 - Rp 60000 per bulan

Join Lewis Personnel Management as a Data Engineer in a dynamic hybrid role based in Bali’s most vibrant locations, including Canggu, Ubud, and Denpasar. This contract position offers a unique opportunity to work with cutting-edge data technologies while enjoying Bali’s natural beauty and cultural richness. As a Data Engineer, you’ll play a pivotal role in designing, building, and maintaining data pipelines that power our business operations.

At Lewis Personnel Management, we’re a leading personnel management firm committed to excellence and innovation. Our team is dedicated to delivering top-notch solutions to our clients, and we’re looking for a Data Engineer to help us achieve our goals. In this role, you’ll work closely with our data science and analytics teams to ensure our data infrastructure is robust, scalable, and efficient.

📋 Tanggung Jawab Pekerjaan

Design, develop, and maintain data pipelines using tools like Apache Airflow, Apache Spark, and Python.
Build and optimize data storage solutions using databases like PostgreSQL, MySQL, and MongoDB.
Ensure data quality and integrity by implementing data validation and cleansing processes.
Collaborate with cross-functional teams to understand data requirements and deliver data-driven solutions.
Monitor and troubleshoot data pipeline performance, ensuring high availability and reliability.
Stay updated with the latest data engineering trends and best practices.
Document data processes and create user guides for data pipelines and tools.
Participate in code reviews and provide constructive feedback to team members.

🎓 Kualifikasi & Syarat

Bachelor’s degree in Computer Science, Data Engineering, or a related field.
3-5 years of experience in data engineering, with a strong background in ETL processes.
Proficiency in programming languages such as Python, Java, or Scala.
Experience with big data technologies like Hadoop, Hive, or Pig.
Familiarity with cloud platforms like AWS or Google Cloud.
Knowledge of data warehousing concepts and tools like Snowflake or Redshift.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.