Senior Data Operations Engineer (Enterprise Scheduler) - Remote from Bali

Nezda Technologies · 📍 Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, Badung · Diposting 2026-10-09
FULL_TIME⭐ TERVERIFIKASI
PHP 100000 - 150000

Nezda Technologies is seeking a highly skilled Senior Data Operations Engineer to join our team. This is a remote position based in Bali, offering a competitive salary of PHP 100000 - 150000. The ideal candidate will be responsible for managing and optimizing our enterprise scheduling systems, ensuring seamless operations and data integrity.

This role is perfect for someone who is passionate about data operations and wants to work in a dynamic and innovative environment. We offer a flexible work schedule and the opportunity to work with cutting-edge technologies.

If you are a Senior Data Operations Engineer with a strong background in enterprise scheduling systems and are looking for a challenging and rewarding role, we encourage you to apply.

📋 Tanggung Jawab Pekerjaan

Tanggung Jawab:

  • Design, implement, and manage enterprise scheduling systems to ensure optimal performance and reliability.
  • Monitor and maintain data pipelines, ensuring data integrity and availability.
  • Collaborate with cross-functional teams to identify and resolve data-related issues.
  • Develop and implement data quality and governance policies.
  • Stay up-to-date with industry trends and best practices in data operations.
  • Provide technical guidance and mentorship to junior team members.
  • Participate in code reviews and contribute to the improvement of our development processes.
  • Ensure compliance with all relevant data protection and security regulations.

    • 🎓 Kualifikasi & Syarat

    Kualifikasi:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 5+ years of experience in data operations, with a focus on enterprise scheduling systems.
  • Strong knowledge of SQL, Python, and other relevant programming languages.
  • Experience with data warehousing and big data technologies (e.g., Hadoop, Spark).
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork skills.
  • Ability to work independently and manage multiple projects simultaneously.

    • 🛠️ Keahlian

    SQLPythonHadoopSparkAWSAzureGCPData WarehousingBig DataEnterprise Scheduling Systems
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