Data Analytics Engineer

Responsibilities

• Build scalable data pipelines, data products, and cloud-based data platforms
• Enable AI, Machine Learning, and Generative AI solutions through robust data engineering
• Develop analytics, dashboards, and self-service data solutions for business users
• Ensure data quality, governance, security, and operational excellence
• Partner with stakeholders to solve business challenges using data and AI

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or related field
• 3-5 years of experience in Data Engineering, Analytics Engineering, or Data Platform development
• Knowledge of cloud data technologies (Azure/AWS) and big data processing frameworks
• Strong programming skills in Python and SQL
• Proven experience building and maintaining ETL/ELT pipelines

Preferred Qualifications

• Experience with Databricks, Spark, Delta Lake, or Lakehouse architecture
• Experience with AI/ML, Generative AI, or MLOps solutions
• Experience in manufacturing, semiconductor, or industrial analytics environments

About the Company

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.