Senior Data Engineer - AI Development Team

Insight Enterprises · 📍 Canggu, Bali, Indonesia · Diposting 2026-10-09
FULL_TIME⭐ TERVERIFIKASI
IDR 30000000 - 50000000
Insight Enterprises is seeking a talented Senior Data Engineer to join our AI Development Team in Canggu, Bali. In this role, you will be responsible for designing, developing, and maintaining data infrastructure that supports our AI initiatives. You will work closely with cross-functional teams to ensure data is accurately captured, processed, and utilized to drive business insights and decision-making. If you are passionate about data engineering and AI, and have a strong background in building scalable data solutions, we encourage you to apply.

📋 Tanggung Jawab Pekerjaan

Design, develop, and maintain data pipelines and infrastructure to support AI initiatives.,Collaborate with cross-functional teams to ensure data is accurately captured, processed, and utilized.,Optimize data storage and retrieval systems to improve performance and efficiency.,Implement data security measures to protect sensitive information.,Monitor and troubleshoot data issues to ensure data integrity and availability.,Stay up-to-date with emerging technologies and industry trends to drive innovation.,Mentor and guide junior data engineers to develop their skills and knowledge.,Participate in code reviews and provide constructive feedback to ensure code quality.

🎓 Kualifikasi & Syarat

Bachelor's degree in Computer Science, Data Engineering, or a related field.,5+ years of experience in data engineering, with a strong background in building scalable data solutions.,Proven experience with data warehousing, ETL processes, and big data technologies.,Strong programming skills in Python, Java, or Scala.,Experience with cloud platforms such as AWS, GCP, or Azure.,Knowledge of AI/ML frameworks and tools such as TensorFlow, PyTorch, or scikit-learn.,Strong problem-solving skills and attention to detail.,Excellent communication and collaboration skills.

🛠️ Keahlian

Data warehousing and ETL processesBig data technologies (e.g.HadoopSpark)Cloud platforms (e.g.AWSGCPAzure)AI/ML frameworks and tools (e.g.TensorFlowPyTorchscikit-learn)Programming languages (e.g.PythonJavaScala)Data visualization tools (e.g.TableauPower BI)Version control systems (e.g.Git)Agile methodologies and project management tools (e.g.JiraTrello)
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