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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering, including data transformation, integration, and big data analytics, while ensuring compliance with data governance and regulatory standards. Proven ability to lead teams, mentor members, and design scalable data architectures that align with business objectives.
Highest-signal resume keywords
Data EngineeringSQL ProficiencyData GovernanceData ModelingBig Data Analytics
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 TransformationData IntegrationData Quality AssuranceData Pipeline DevelopmentCloud-Based Data PlatformsData WarehousingOrchestration FrameworksBusiness IntelligenceSoftware EngineeringProgramming Languages
Soft Skills
MentoringCollaborationProblem SolvingContinuous ImprovementLeadership
Tools & Technologies
SnowflakeAzureGoogle BigQuery
Industry Keywords
Data PrivacyData SecurityRegulatory ComplianceData-Driven StrategiesOperational Excellence
Tech Stack
Tools & technologiesAzureBigQueryCloudSQL
About the role
Key responsibilities & impact- Lead the design, development, and deployment of scalable data engineering solutions across multiple platforms
- Translate complex business problems into data-driven strategies and technical implementations
- Oversee data integration, transformation, and quality assurance processes to ensure reliable data pipelines
- Implement and maintain data governance practices aligned with regulatory and ethical standards
- Collaborate with cross-functional teams to align data architecture with business objectives
- Mentor and guide team members on best practices in data modeling, coding, and testing
- Evaluate emerging technologies to enhance big data analytics capabilities and automation
- Lead the Supply Chain Centralized Services - Data Enablement team’s support for Flow, Quality, and Maintenance Reliability operations and transformation
- Build scalable, efficient data pipelines and models that enable actionable insights and operational excellence
Requirements
What you’ll need- Bachelor’s degree in Computer Science and 5 years' experience in software engineering or related field; OR 7 years’ experience in software engineering or related field; OR Master's degree in Computer Science and 3 years' experience in software engineering or related field
- 4 years' experience in data engineering, database engineering, business intelligence, or business analytics
- 1 year’s supervisory experience
- Extensive experience in data engineering, including data transformation, integration, and big data analytics
- Proficiency in SQL and other programming languages relevant to data pipeline development and automation
- Strong knowledge of data governance, data quality frameworks, and regulatory requirements related to data privacy and security
- Expertise in data modeling, warehousing, and cloud-based big data platforms such as Snowflake, Azure, or Google BigQuery
- Ability to design and implement scalable data architectures and pipelines using modern tools and orchestration frameworks
- Proven capability to translate complex business requirements into effective data solutions and strategies
- Experience leading and mentoring, fostering continuous improvement and innovation in data engineering practices
Benefits
Comp & perks- Performance-based bonus awards
- Medical, vision, and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- Paid time off, including sick leave
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Live Better U Walmart-paid education benefit
- Tuition, books, and fees completely paid for eligible education programs
- PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
- Stock (additional compensation for certain positions)
