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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Data Engineer

Manulife
Canggu, Bali, Indonesia
Salary Estimate
Rp 15.000.000 – Rp 25.000.000
Newest
Live Update
31 Juli 2026
Deadline
31 Jul 2027

job description

Are you a passionate Data Engineer looking to thrive in a dynamic, collaborative environment with exceptional benefits and clear career growth opportunities? Manulife is seeking a talented professional to join our team in beautiful Bali, Indonesia.

As a Data Engineer, you will play a pivotal role in designing, building, and maintaining scalable data pipelines and infrastructure. You'll work with cutting-edge technologies to ensure data accuracy, accessibility, and security, empowering our business to make data-driven decisions.

At Manulife, we foster a culture of innovation, continuous learning, and work-life balance. Enjoy the vibrant lifestyle of Bali while advancing your career with a global leader in financial services.

Responsibility

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Ensure data accuracy, consistency, and reliability across systems.
  • Optimize data storage, retrieval, and processing for performance and cost-efficiency.
  • Implement data security and compliance measures in alignment with industry standards.
  • Monitor and troubleshoot data infrastructure to ensure high availability.
  • Automate data workflows to improve efficiency and reduce manual intervention.
  • 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.
  • Proficiency in SQL, Python, and data processing frameworks (e.g., Spark, Hadoop).
  • Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies.
  • Strong understanding of data modeling, warehousing, and ETL processes.
  • Familiarity with data governance, security, and compliance standards.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.

Required Skills

SQL Python ETL Data Pipelines Cloud Computing Big Data Data Warehousing Data Modeling

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