Engineer, Automation Development Engineering at Sandisk

Batu Kawan, Penang, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics Platforms, Software Development, Data Pipelines, Database Technologies, Data Modeling, Automation, Problem Solving, Communication, Collaboration, Machine Learning, Deep Learning, Agile Development, Cloud Technologies, Attention to Detail, Adaptability

Industry

Semiconductor Manufacturing

Description

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description The Data Solutions team is looking to fill the position of 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 individuals 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. ESSENTIAL DUTIES AND RESPONSIBLITIES: 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. Qualifications REQUIRED: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field. Three years of working experience in software, data engineering or a similar role. Strong programming foundation (Python, C#, or JavaScript preferred). Experience in database (SQL) technologies and data modeling concepts. Knowledge of manufacturing, automation, or IoT data integration. Experience with version control systems (Git) and collaborative development practices 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. PREFERRED: Familiarity with big data technologies (e.g., Spark, Hadoop, Kafka). Experience in developing and implementing Machine Learning and Deep Learning algorithms. Exposure to containerization or orchestration tools (Docker, Kubernetes). Agile development experience with the ability to adapt to changing project requirements. SKILLS: Curious and motivated to learn new technologies and approaches. Strong attention to detail and commitment to data accuracy. Good interpersonal and teamwork skills to collaborate with cross-functional stakeholders. Ability to translate technical findings into business insights. Adaptability to evolving project requirements and industry trends Additional Information Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. NOTICE TO CANDIDATES: Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email [email protected].

Responsibilities

Design, develop, and optimize data systems for advanced analytics and automation in manufacturing. Collaborate with cross-functional teams to integrate data solutions into business processes.