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Senior Engineer, Data Analytics

Western Digital


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3-5 Years
a month ago
52 Viewed
0 Applied

Job Description

Job Description


  • Apply statistical techniques and data visualization tools to analyze data sets and extract meaningful insights.
  • Interpret the results of data analysis and translate them into actionable recommendations for stakeholders.
  • Develop and implement statisticalML models and algorithms to solve specific business problems or make predictions.
  • Create and maintain optimal data pipeline architecture and tools forinternal process improvements which includeautomating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Machine Learning Modeling: Develop, train, and evaluate machine learning models using algorithms such as regression, classification, clustering, and deep learning.
  • Collaborate with cross-functional teams such as data engineers, business analysts, and decision-makers to understand requirements and deliver insights.
  • Perform other duties as assigned.



  • Bachelor's Degree or higher inComputer Science, Statistics, Informatics, Information Systems, engineering or equivalent fields.
  • At least 3 years of relevant experience.
  • Data analysts need strong analytical skills to interpret complex data sets and extract meaningful insights. This includes the ability to identify trends, patterns, and correlations within the data.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and big data platforms, esp. MySQL, PostgreSQL and MSSQL.
  • Proficiency in programming languages commonly used in data science such as Python.Additionally, proficiency in using data science tools and frameworks.


  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Familiarity with Business Intelligence tools, Machine Learning concept and Big DataPlatform is a plus.
  • Experience building and optimizing big data data pipelines, architectures and data sets. Hadoop, Amazon Redshift, MPP Presto, Hive, ActiveScaleand S3 experience will be highly beneficial. Otherwise, passion to learn these new technologiesis essential.
  • Experience authoring, scheduling and monitoring the data workflows, esp. with Apache Airflow.
  • Experience in Docker, the leading containerization platform, includingbuilding Docker images for data science applications, ensuring reproducibility and portability of environments. Managing Docker containers and orchestrating multi-container application.


  • Strong written and verbal communication in English
  • Strong project management and organizational skills. Able to work and communicate well with cross-functional teams in a dynamic environment.

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 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.



Western Digital Corporation is an American computer hard disk drive manufacturer and data storage company, headquartered in San Jose, California. It designs, manufactures and sells data technology products, including storage devices, data center systems and cloud storage services.


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