Data Engineer / AI Engineer

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

Position Summary

We are looking for a Senior Data & AI Engineer to build scalable data platforms and AI solutions that support Logistics and Supply Chain digital transformation initiatives.

This role will be responsible for data engineering, analytics, machine learning, and Generative AI development, working closely with business and IT teams to deliver data-driven solutions and process automation.

Key Responsibilities

Data Engineering

• Design and develop scalable data pipelines using Databricks, Spark, Python, and SQL.
• Integrate data from enterprise systems such as SAP, Oracle, and other business applications.
• Build and maintain data models, data platforms, and analytics datasets.
• Ensure data quality, reliability, and performance.

Analytics & Reporting

• Develop dashboards, reports, and data solutions to improve business visibility and decision-making.
• Support operational monitoring, KPI tracking, and business analytics.

AI & GenAI Solutions

• Develop and deploy Machine Learning models for prediction, optimization, and process improvement.
• Build Generative AI solutions using LLMs, AI agents, and Copilot technologies.
• Drive workflow automation and intelligent decision support solutions.

Business Collaboration

• Work closely with business stakeholders to understand requirements and deliver technical solutions.
• Translate business problems into scalable data and AI products.

Qualifications

Required Qualifications

• Bachelor's degree or above in Computer Science, Data Science, Engineering, or related fields.
• 1-2 years of experience in Data Engineering, Analytics, or AI/ML development.
• Strong hands-on experience with:
  • Databricks
  • Apache Spark
  • Python
  • SQL
  • Data Modeling
• Experience building enterprise data pipelines and data platforms.
• Experience developing and deploying Machine Learning solutions.
• Basic knowledge of Generative AI, LLMs, AI Agents, or Copilot technologies.
• Strong communication skills and ability to work in a global environment.

Preferred Qualifications

• Experience with SAP, Oracle, or Supply Chain/Logistics systems.
• Experience with Azure cloud technologies.
• Experience in Logistics, Supply Chain, Procurement, or Manufacturing domains.
• Knowledge of Machine Learning operations and AI solution deployment.

Key Skills

Must Have

• Databricks
• Spark
• Python
• SQL
• Data Engineering
• Machine Learning

Nice to Have

• GenAI / LLM
• AI Agents
• Azure
• Supply Chain / Logistics Domain Knowledge