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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing scalable data pipelines and architectures, with a strong focus on data governance, data quality, and regulatory compliance. Proficient in translating business requirements into effective data solutions using modern tools and methodologies.
Highest-signal resume keywords
Data EngineeringData ModelingPySparkDatabricksApache Airflow
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data PipelinesData ArchitectureData LakesDistributed Data StoresData GovernanceData Quality FrameworksCI/CD PipelinesCloud EnvironmentsBig Data EnvironmentsBusiness Analytics
Soft Skills
Problem-SolvingCollaborationContinuous Improvement
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster's Degree in Computer Science
Industry Keywords
Regulatory ComplianceData PrivacyData SecurityStakeholder EngagementOperational Excellence
Tech Stack
Tools & technologiesAirflowApacheCloudPySpark
About the role
Key responsibilities & impact- Develop and maintain scalable data pipelines and architectures for analytics and reporting
- Translate stakeholder business requirements into effective data solutions
- Implement data governance practices for regulatory and ethical compliance
- Design and optimize data models for data lakes and distributed data stores
- Automate data integration and transformation using modern tools and orchestration frameworks
- Monitor data quality and guide accuracy and reliability of data assets
- Evaluate emerging data technologies and methodologies for continuous improvement
- Collaborate cross-functionally on enterprise-wide data initiatives
- Support actionable insights, operational excellence, and regulatory compliance
Requirements
What you’ll need- Bachelor’s degree in Computer Science and 4 years' experience in software engineering or related field; or 6 years’ experience in software engineering or related field; or Master's degree in Computer Science and 2 years' experience in software engineering or related field
- 3 years' experience in data engineering, database engineering, business intelligence, or business analytics
- Proven expertise in data engineering, including scalable data pipelines and infrastructure
- Strong knowledge of data modeling, data lakes, distributed data stores, and data architecture principles
- Experience with PySpark, Databricks, Apache Airflow, and CI/CD pipelines
- Understanding of data governance, data quality frameworks, and regulatory requirements related to data privacy and security
- Ability to translate complex business requirements into technical solutions aligned with data strategy
- Proficiency in cloud and big data environments
- Problem-solving skills and commitment to continuous improvement and innovation
- Ability to meet Walmart’s drug-free workplace policy
Benefits
Comp & perks- Performance-based bonus awards
- Medical, vision and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO, including sick leave
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Vacation, sick leave, and holiday PTO/PPTO
- Live Better U Walmart-paid education benefit
- Paid high school completion, bachelor's degree, English Language Learning, and short-form certificate programs
- Tuition, books, and fees completely paid by Walmart
- Stock compensation may be included for certain positions