Skip to content
Staff – Data Engineer
| Company | Walmart |
|---|
| Location | Bentonville, AR, USA |
|---|
| Salary | $110000 – $220000 |
|---|
| Type | Full-Time |
|---|
| Degrees | Bachelor’s, Master’s |
|---|
| Experience Level | Senior, Expert or higher |
|---|
Requirements
- Bachelors/masters degree in computer science or a related field
- 8+ years experience in development of big data technologies/data pipelines
- Proficiency in managing and manipulating huge datasets in the order of terabytes (TB) is essential
- Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.)
- Expertise in building idempotent workflows using orchestrators like Airflow
- Expertise in writing SQL to analyze, optimize, profile data preferably in Big Query or SPARK SQL
- Strong data modeling skills are necessary for designing a schema that can accommodate the evolution of data sources and facilitate seamless data joins across various datasets
- Ability to work directly with stakeholders to understand data requirements and translate that to pipeline development / data solution work
- Strong analytical and problem-solving skills are crucial for identifying and resolving issues that may arise during the data integration and schema evolution process
- Ability to move at a rapid pace with quality and start delivering with minimal ramp up time will be crucial to succeed in this initiative
- Effective communication and collaboration skills are necessary for working in a team environment and coordinating efforts between different stakeholders involved in the project.
Responsibilities
- Design, Build and Enhance high performance reusable framework for data pipeline
- Develop and deploy cutting edge solutions at scale, impacting millions of customers worldwide to drive value from data at Walmart Scale
- Support People Data applications ensuring Data Quality and Governance standards
- Interact with Walmart engineering teams across geographies to leverage expertise and contribute to the technical community
- Provide guidance and mentorship to junior data engineers
- Ensure data ingested and processed is accurate and of high quality by implementing data quality checks, data validation, and data cleaning processes.
Preferred Qualifications
- Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud
- Master’s degree in Computer Science or related field and 4 years’ experience in software engineering or related field
- 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.
