Develops and implements scalable data pipelines, transforms complex datasets into actionable insights, and creates data-driven solutions to support strategic decision-making and business growth.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Design, build, and maintain robust data pipelines for collecting, processing, and integrating data from various sources.
- Ensure that data is accurately and efficiently transferred and transformed between systems.
- Create dashboards, reports, and visualizations to support decision-making.
- Collaborate with cross-functional teams to understand their data needs and provide actionable, data-driven recommendations.
- Use statistical, machine learning, or deep learning techniques to analyze and model data, identify trends, patterns, and relationships, and provide applicable solutions.
- Develop predictive models using machine learning algorithms to forecast trends and future outcomes. Then, deploy these models and systems, and monitor and maintain them to ensure they are working effectively.
- Document data workflows, processes, and technical specifications.
- Stay updated with industry trends and best practices to continuously improve data engineering practices.
REQUIRED:
- Bachelor’s Degree in Computer Science, Data Science, Engineering, or a related field. Advanced degrees are beneficial.
PREFERRED:
- Previous experience in data engineering, data analytics, or a related field, often with a proven track record of building and managing data pipelines.
- Expertise in data analysis and management using tools such as SAS (Statistical Analysis System) and Microsoft SQL Server.
- Proficient in programming languages such as SQL, Python, Java, and R for data manipulation, cleaning, and analysis, as well as in data visualization tools like Spotfire, Tableau, and Power BI. Also familiar with Amazon S3 (Simple Storage Service) by AWS.
- Knowledge of AI/ML lifecycle management and tools, including exploratory data analysis (EDA), modeling, integration and deployment, data and model drift detection, and model retraining.
- Strong problem-solving skills and the ability to analyze and interpret complex data sets.
- Excellent communication skills for explaining technical concepts to non-technical stakeholders.
- Team player with strong organizational skills and attention to detail.
Because Western Digital thrives on the power of diversity and is committed to an inclusive environment where every individual can thrive through a sense of belonging, respect, and contribution, we are committed to giving every qualified applicant and employee an equal opportunity. Western Digital does not discriminate against any applicant or employee based on their protected class status and complies with all federal and state laws against discrimination, harassment, and retaliation, as well as the laws and regulations set forth in the "Equal Employment Opportunity is the Law" poster.
