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Information & Communication Technology 🏢 Contract ⭐️ Terverifikasi

Data Engineer (Immediate & Hybrid)

Infinitilab Sdn Bhd
Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, Badung
Salary Estimate
MYR 4.000 – MYR 6.000
Newest
Live Update
15 Agustus 2026
Deadline
15 Agu 2027

job description

Join Infinitilab Sdn Bhd as a Data Engineer in a dynamic hybrid role, supporting a leading Oil & Gas company. This 6-12 month contract offers the opportunity to build scalable ETL pipelines and cloud-based data solutions in a fast-paced environment. Ideal for professionals passionate about data infrastructure, cloud technologies, and driving data-driven decisions.

Based in Bali, this role combines remote flexibility with occasional on-site collaboration, ensuring a balanced work-life experience. If you thrive in transforming raw data into actionable insights, this is your chance to make an impact in a high-growth industry.

Responsibility

  • Design, develop, and maintain scalable ETL pipelines for data processing and analytics.
  • Implement cloud-based data solutions using AWS, Azure, or GCP.
  • Optimize data storage, retrieval, and processing for performance and cost efficiency.
  • Collaborate with cross-functional teams to integrate data from multiple sources.
  • Ensure data quality, security, and compliance with industry standards.
  • Automate data workflows and monitoring for real-time analytics.
  • Troubleshoot and resolve data pipeline issues promptly.
  • Document processes and provide training to stakeholders as needed.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 3+ years of experience in data engineering, ETL development, or cloud data solutions.
  • Proficiency in SQL, Python, and data pipeline tools (e.g., Apache Airflow, Spark).
  • Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
  • Strong problem-solving skills and attention to detail.
  • Ability to work independently and collaboratively in a hybrid environment.
  • Familiarity with Oil & Gas or related industries is a plus.
  • Excellent communication and documentation skills.

Required Skills

ETL SQL Python Cloud Data Solutions AWS Azure GCP Apache Airflow Spark Data Pipelines

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