Walmart is looking to solve the problem of turning complexity into clarity by implementing data-driven decisions and innovations within the company using cutting-edge technology and big data analytics.
Requirements
- Experience working with large, complex, multi-dimensional datasets.
- Experience working with data ingestion techniques.
- Experience designing and developing ETL data pipelines.
- Experience standardizing and automating ETL processes using scripting and reporting to surface metrics.
- Experience with Big Data and Hadoop technologies.
- Experience writing Hive queries to pull data from complex data sources.
- Experience with data modeling and data warehousing.
Responsibilities
- Working with engineering to implement, document, validate, and monitor logging and metrics. Craft simple, dependable data pipelines and automated reporting to surface metrics.
- Identifying, translating, prioritizing, and informing important product questions with data.
- Designing, building, and maintaining ETL pipeline of analytical data warehouse.
- Exploring data to find actionable insights and make product recommendations through funnels, long-term trends, segmentation, and more as necessary.
- Designing and building intuitive dashboards and generate daily reports
- Working with a collaborative team made up of engineering, UX, product management, along with web and technology evangelists, to rapidly iterate new products and site features at scale.
- Providing and supporting the implementation of business solutions applying data modeling, SQL, and data warehousing skills.
Other
- Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years’ experience in software engineering or related area.
- 5 years’ experience in software engineering or related area.
- Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area.
- Background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
- Knowledge of accessibility best practices
