Data Analytics Engineer: AI-Driven Platforms & Pipelines

Sandisk; George Town; On-site; MYR 90,000 - 150,000; Full time

Job summary

Sandisk in Penang, Malaysia is seeking an experienced Data Analytics Engineer to join the Data Analytics Engineering team responsible for building next‑generation data platforms, AI‑enabled solutions, and manufacturing analytics products.

You will design scalable data architectures, develop enterprise‑grade data pipelines, enable AI/ML workloads, and collaborate with stakeholders to unlock data‑driven insights across manufacturing operations.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Engineering, or related field, with 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 analytical, problem-solving, and communication skills.
• Strong programming skills in Python and SQL with proven experience building and maintaining ETL/ELT pipelines.

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.

Skills

Python

SQL

ETL/ELT

Data Engineering

Databricks

Spark

Delta Lake

Azure/AWS Cloud

AI/ML

Generative AI

MLOps

Data Governance

Data Quality

Dashboard Development

Education

Bachelor's/Master's in CS/Data/Engineering

Tools

Databricks

Spark

Delta Lake

Azure/AWS

Job description

Sandisk in Penang, Malaysia is seeking an experienced Data Analytics Engineer to join the Data Analytics Engineering team responsible for building next‑generation data platforms, AI‑enabled solutions, and manufacturing analytics products.

You will design scalable data architectures, develop enterprise‑grade data pipelines, enable AI/ML workloads, and collaborate with stakeholders to unlock data‑driven insights across manufacturing operations.