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 a related field
• 3-5 years of experience in Data Engineering, Analytics Engineering, or Data Platform development
• Strong programming skills in Python and SQL
• Proven experience building and maintaining ETL/ELT pipelines
• Knowledge of cloud data technologies such as Azure or AWS

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
• Proficiency in analytics dashboard development using Power BI or Tableau

About the Company

Sandisk relentlessly innovates 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 are the beating heart of the digital world. We combine powerhouse manufacturing capabilities with an industry-leading portfolio of products recognized globally for innovation, performance, and quality.