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Kerja Sepenuh Masa, Engineer, Data Analytics Engineering di Sandisk WP Kuala Lumpur - Maukerja

Engineer, Data Analytics Engineering

Sandisk

Undisclosed

Sepenuh Masa

Batu, WP Kuala Lumpur

Kongsi
Simpan

Lokasi Kerja

  • Batu Kawan, Penang Batu WP Kuala Lumpur Malaysia

Penerangan Kerja

Tanggungjawab

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

Peringatan Penting

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