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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data solutions, optimizing data pipelines, and ensuring compliance with data governance and regulatory standards. Proficient in utilizing cloud platforms and big data technologies to enhance data processing efficiency and maintain system reliability.
Highest-signal resume keywords
Data EngineeringPython ProgrammingETL ProcessesGoogle CloudData Governance
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 Pipeline DesignData IntegrationData TransformationData Quality FrameworksData ModelingMetadata ManagementBig Data TechnologiesApache SparkHiveKafka
Soft Skills
CollaborationTechnical GuidanceProblem Solving
Tools & Technologies
Cloud PlatformsData Warehousing SolutionsCI/CD Practices
Industry Keywords
Data GovernanceRegulatory StandardsBusiness IntelligenceBusiness Analytics
Tech Stack
Tools & technologiesApacheCloudETLKafkaPythonSpark
About the role
Key responsibilities & impact- Design and implement scalable data solutions supporting complex business needs across multiple domains
- Develop, maintain, and optimize scalable data pipelines and architectures
- Collaborate with cross-functional teams to translate business requirements into technical data solutions
- Implement data integration, transformation, and quality frameworks using modern ETL and streaming technologies
- Apply regulatory and ethical standards to data handling and storage
- Utilize cloud platforms and big data tools to automate data workflows and improve processing efficiency
- Monitor and troubleshoot data systems to maintain reliability and performance
- Provide technical guidance on data modeling, storage, and metadata management best practices
- Contribute to data governance and strategy adherence
- Collaborate through iterative development, code review, and continuous improvement
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 designing and maintaining scalable data pipelines
- Proficiency in Python programming
- Experience with ETL processes and big data technologies such as Apache Spark, Hive, and Kafka
- Strong knowledge of cloud platforms, particularly Google Cloud
- Experience with modern data warehousing solutions
- Experience implementing data quality frameworks
- Experience ensuring compliance with data governance and regulatory requirements
- Familiarity with CI/CD practices and automated deployment in data environments
- Solid understanding of data modeling techniques and metadata management across data platforms
Benefits
Comp & perks- Incentive awards for performance
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO, including sick leave, holidays, and other purposes
- Multiple health plans, including medical, vision, and dental coverage
- Company-paid life insurance
- Family care leave
- Bereavement leave
- Jury duty and 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, including tuition, books, and fees
- Performance-based bonus awards
- Stock compensation may be included for certain positions