Data Analytics Engineer

SanDisk; Batu Kawan; On-site; MYR 120,000 - 180,000; Full time

Job summary

SanDisk is seeking a Data Analytics Engineer in Penang (On-site) to design scalable data architectures and build enterprise-grade data pipelines across manufacturing analytics platforms.

You will enable AI/ML workloads, develop analytics dashboards, and ensure data quality, governance, and security while collaborating with stakeholders to address business challenges with data-driven solutions.

Qualifications

• Degree in Computer Science, Data Engineering, Data Science, or related field with 3–5 years in Data Engineering or Analytics Engineering.
• Experience with cloud data technologies and big data processing frameworks.
• Strong analytical, problem solving and communication skills.

Responsibilities

• Design scalable data architectures and enterprise-grade data pipelines.
• Enable AI/ML workloads and build analytics dashboards for business users.
• Ensure data quality, governance, and security across platforms.

Skills

Python

SQL

ETL/ELT

Data Engineering

Education

Bachelor's or Master's in CS/Engineering

Tools

Databricks

Spark

Delta Lake

Azure

AWS

Job description

General Information

Job Name

Data Analytics Engineer

Country/Region

Malaysia

State

Pulau Pinang (Penang)

City

Batu Kawan

Work Location

Penang SDSM Office

Work Mode

Employees work on-site

Exemption Status

Exempt

Business Function

Data & Analytics

Employment Type

Full-time

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 we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Description

ESSENTIAL DUTIES AND RESPONSIBILITIES

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. 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.

Qualifications

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

Notice to Candidates

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [e-mail] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

NOTICE TO CANDIDATES: Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline (http://secure.ethicspoint.com/domain/media/en/gui/95737/index.html) or email [e-mail].

Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [e-mail] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.