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Engineer, Automation Development Engineering

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Sandisk

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Location:
Malaysia , Batu Kawan, Penang

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are seeking a highly motivated New College Graduate to join our Data Solutions team as a Software Data Platform Engineer. In this role, you will work on the design, development, and optimization of data systems that support advanced analytics, automation, and decision-making in our manufacturing environment. You will gain hands-on experience in building data pipelines, managing large datasets, and enabling digital transformation across our operations. This position is ideal for fresh graduates who are passionate about data engineering, analytics platforms, and scalable software systems, and who want to grow their careers in a high-impact, technology-driven environment.

Job Responsibility:

  • Assist in the design, development, and deployment of data pipelines for structured and unstructured data
  • Collaborate with cross-functional teams (engineering, automation, IT, and operations) to integrate data solutions into business processes
  • Contribute to the implementation and optimization of data processing frameworks and tools for large-scale manufacturing datasets
  • Ensure data quality, consistency, and security through validation, monitoring, and documentation
  • Participate in data modeling, storage, and retrieval strategies to support analytics and reporting use cases
  • Develop and maintain technical documentation for data systems, APIs, and workflows
  • Stay up-to-date with emerging technologies in cloud, data engineering, and automation to support continuous improvement

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
  • Strong programming foundation (Python, C#, or JavaScript preferred)
  • Familiarity with relational databases (SQL) and data modeling concepts
  • Exposure to data pipelines or ETL processes through coursework, projects, or internships
  • Strong analytical, problem-solving, and communication skills
  • Eagerness to learn and adapt quickly in a fast-paced, technical environment

Nice to have:

  • Familiarity with big data technologies (e.g., Spark, Hadoop, Kafka)
  • Experience with cloud platforms (AWS, Azure, or Google Cloud)
  • Exposure to containerization or orchestration tools (Docker, Kubernetes)
  • Knowledge of manufacturing, automation, or IoT data integration
  • Experience with version control systems (Git) and collaborative development practices

Additional Information:

Job Posted:
January 06, 2026

Employment Type:
Fulltime
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