全职 Engineer, Data Analytics Engineering 工作, 薪水, Sandisk WP Kuala Lumpur 公司招聘中 - Ricebowl

We are seeking an experienced Engineer to join the Data Analytics Engineering team responsible for building next-generation data platforms, AI-enabled solutions, and manufacturing analytics products.

This role will focus on designing scalable data architectures, developing enterprise-grade data pipelines, enabling AI/ML workloads, and accelerating digital transformation across manufacturing operations.

The ideal candidate combines strong data engineering expertise with practical experience in cloud platforms, big data technologies, and AI solution deployment.

Key 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.

Required:

• 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.

Preferred:

• 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.

Skills :

• Python, SQL, ETL/ELT, and Data Engineering
• Databricks, Spark, Delta Lake
• Azure/AWS Cloud Data Platforms
• AI/ML, Generative AI, and MLOps
• Data Governance, and Data Quality
• Analytics Dashboard Development (Power BI/Tableau