Engineer, Data Management Engineering

Overview

We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is early in the career and offers hands-on exposure to data engineering tasks, ML workflows, and the opportunity to contribute to analytics and model development. Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable todays needs and tomorrows next big ideas. With a history of innovations in Flash and memory technologies, our solutions are at the heart of the digital world and we have the power to shape it. We balance manufacturing capabilities with an industry-leading portfolio recognized globally for innovation, performance, and quality. Sandisk has facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations and as Sustainability Lighthouses for breakthroughs in efficient operations. We ensure the global supply chain has access to the Flash memory it needs to keep the world moving forward. Job Description

We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. Youll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making. Responsibilities

Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement. Perform exploratory data analysis (EDA) from different data sources and identify the best variables for fault detection, prediction and Run-to-Run modelling setup. Set up ETL pipelines for data integration from different sources to databases. Assist in implementing basic machine learning models (e.g., regression, classification) under guidance. Monitor data quality and support model performance tracking in production. Design and develop machine learning applications to implement in manufacturing processes. Build dashboards and reports to visualize process variables, ML outputs and business KPIs. Document data flows, ML pipelines, and model metadata for transparency and reproducibility. Qualifications

REQUIRED: Bachelors degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 0-2 years of experience in data analytics, data engineering, or machine learning. Proficiency in SQL for data querying and manipulation. Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy). Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting). Preferred: Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow. Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau). Familiarity with version control tools such as Git. Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI. Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow. Familiar with semiconductor manufacturing process, control system functions, manufacturing system (MES/RMS) and communication protocols such as SECS-GEM is an added advantage. Skills

Data preprocessing and feature engineering techniques. Basic data pipeline development and ETL/ELT workflows. Ability to interpret and visualize data insights. Strong analytical and problem-solving mindset. Attention to detail and a commitment to data accuracy and integrity. Effective written and verbal communication. Team collaboration and a proactive learning attitude. 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 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 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 Sandisks 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 Seniority level

Not Applicable Employment type

Full-time

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Information :

• Company : Sandisk
• Position : Engineer, Data Management Engineering
• Location : Kampung Batu Kawan, Penang
• Country : MY