Principal Engineer, Data Management Engineering (Software)
Batu Kawan, Malaysia
Western Digital
Western Digital, leaders in digital storage solutions compatible with Mac and PC. FREE shipping, friendly support, and 30-day return policy on storage products.Company Description
At Western Digital, we are on a mission to unlock the potential of data so people, companies and organizations everywhere can create what’s next. To fulfill our vision, we are always on the lookout for potential team members who share our passion for solving problems to empower others.
When you join Western Digital, you join a legacy more than 50 years in the making. Across our Western Digital®, SanDisk®, SanDisk® Professional, WD® and WD_BLACK™ brands, we have brought some of the most storied advancements in memory and data storage technology to market—and our best, most innovative work is yet to come.
From energizing gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.
Here’s how you can help.
Job Description
- Lead the design, development, and deployment of complex data systems and pipelines.
- Collaborate with cross-functional teams to integrate data solutions into business processes.
- Implement and optimize data processing frameworks and tools for large-scale data.
- Ensure data quality, integrity, and security through advanced testing and validation techniques.
- Develop strategies for data storage, retrieval, and scalability.
- Create and maintain comprehensive documentation for data systems and processes.
- Stay ahead of industry trends and emerging technologies to drive innovation.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Extensive experience in data engineering or a similar role.
- Proficiency in programming languages such as C#, Python, or JavaScript.
- Deep understanding of big data technologies like Hadoop, Spark, and Kafka.
- Strong expertise in SQL and database management systems.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
- Excellent problem-solving skills and attention to detail.
- Strong leadership, communication, and collaboration abilities.
Preferred Qualifications:
- Experience with data visualization and BI tools (e.g., Tableau, Power BI).
- Knowledge of machine learning frameworks and libraries.
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Basic understanding of semiconductor manufacturing process, control system functions, IT network architectures, data structures, data modeling and communication protocols such as SECS-GEM.
Additional Information
Western Digital 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.
Western Digital 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 jobs.accommodations@wdc.com 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: Western Digital has received reports of scams where a payment is requested on Western Digital’s behalf as a condition for receiving an offer of employment. Please be aware that Western Digital 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 compliance@wdc.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data Computer Science Data management Data quality Data visualization Docker Engineering GCP Google Cloud Hadoop JavaScript Kafka Kubernetes Machine Learning Pipelines Power BI Python Security Spark SQL Tableau Testing
Perks/benefits: Career development
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