Deskripsi Pekerjaan
Sandisk is seeking a talented and highly motivated Data Analytics Engineer to join our dynamic technology team in Batu Kawan, Penang. In this role, you will be at the forefront of our digital manufacturing transformation, leveraging massive datasets to drive actionable insights and optimize our production processes.
As a Data Analytics Engineer, you will work closely with cross-functional teams to design, build, and maintain robust data pipelines. You will process large-scale manufacturing and sensor datasets, applying advanced analytics to identify trends, predict anomalies, and improve overall operational efficiency. If you are passionate about big data, thrive in a fast-paced tech environment, and want to make a tangible impact on next-generation memory solutions, we want you on our team!
Tanggung Jawab
- Design, develop, and optimize scalable data pipelines to process large-scale manufacturing and sensor data.
- Collaborate with manufacturing, engineering, and IT teams to identify data needs and deliver actionable insights.
- Utilize Python, SQL, and Spark to extract, transform, and load (ETL) data from diverse operational sources.
- Develop interactive dashboards and visualizations to communicate complex data trends to non-technical stakeholders.
- Monitor data quality, troubleshoot data discrepancies, and implement automated data validation checks.
- Continuously research and implement new big data technologies to enhance analytics capabilities and system performance.
Kualifikasi
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related technical field.
- Strong programming skills in Python for data manipulation, scripting, and backend development.
- Proven experience with SQL, Apache Spark, or other big data processing frameworks.
- Experience handling large-scale manufacturing, IoT, or sensor datasets is highly preferred.
- Solid understanding of data warehousing concepts, database architecture, and ETL processes.
- Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.
- Strong communication skills with the ability to translate technical findings into business value.