Beranda Job Details
C
Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Data Engineer - Night Shift

CAPLINQ
Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, Badung
Salary Estimate
Rp 15.000.000 – Rp 25.000.000
Newest
Live Update
27 Juli 2026
Deadline
27 Jul 2027

job description

Join CAPLINQ as a Data Engineer - Night Shift and play a pivotal role in building scalable data solutions that power analytics, AI, and smarter business decisions across our growing global organization. This is a unique opportunity to work in a dynamic environment, contributing to cutting-edge data infrastructure while enjoying the vibrant culture of Bali.

As a Data Engineer, you will design, develop, and maintain robust data pipelines, ensuring high availability and performance. You will collaborate with cross-functional teams to transform raw data into actionable insights, driving innovation and efficiency. If you are passionate about data engineering and thrive in a fast-paced, collaborative setting, we want to hear from you!

This role is based in Bali, offering a blend of professional growth and an inspiring work-life balance. Embrace the challenge and be part of a team that is shaping the future of data-driven decision-making.

Responsibility

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Collaborate with data scientists and analysts to optimize data models and ensure data accuracy.
  • Implement and manage data storage solutions, including databases and data lakes.
  • Monitor and troubleshoot data infrastructure to ensure high availability and performance.
  • Develop and maintain data governance and security policies.
  • Automate data workflows to improve efficiency and reduce manual intervention.
  • Work closely with cross-functional teams to understand data requirements and deliver solutions.
  • Stay updated with emerging technologies and best practices in data engineering.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL and experience with database technologies (e.g., PostgreSQL, MySQL).
  • Experience with big data technologies such as Hadoop, Spark, or Kafka.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions.
  • Knowledge of programming languages such as Python, Java, or Scala.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work effectively in a night shift schedule.

Required Skills

SQL Python ETL Data Pipelines Hadoop Spark AWS Azure GCP Data Warehousing

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