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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 maintaining scalable data pipelines and ETL processes, with strong proficiency in Scala, Spark, and cloud technologies. Ensures data quality and compliance while optimizing data storage and retrieval for performance.
Highest-signal resume keywords
Data EngineeringScala ProficiencyApache Spark ExperienceGoogle Cloud Platform ServicesSQL and NoSQL Knowledge
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, develop, and maintain scalable data pipelines and ETL processes
- Collaborate with cross-functional teams to identify data requirements and translate them into data models and solutions
- Implement data integration and ingestion strategies using cloud and big data technologies such as Apache Spark and data lakes
- Ensure data quality, governance, and regulatory compliance throughout the data lifecycle
- Optimize data storage, transformation, and retrieval for performance and scalability
- Develop and test code for data processing, supporting deployment and documentation
- Stay current with data engineering trends and best practices to drive continuous improvement
- Contribute to enterprise data strategies, data governance, innovation, and operational excellence
Requirements
What you’ll need- Bachelor’s degree in Computer Science and 2 years' experience in software engineering or related field; or 4 years' experience in software engineering or related field; or Master's degree in Computer Science
- Extensive experience in data engineering across multiple platforms
- Strong proficiency in Scala and Spark
- Experience with Google Cloud Platform services including BigQuery, GCS, and Dataproc
- Experience with near real-time data ingestion using Kafka and Spark Structured Streaming
- Strong working knowledge of SQL and NoSQL systems
- In-depth understanding of data warehousing concepts and best practices
- Proficiency with Git/version control, CI/CD pipelines, and workflow schedulers such as Airflow
- Experience working with large-scale datasets
- Familiarity with BI/visualization tools such as Tableau or Looker
- Hands-on exposure to Generative AI and Agentic AI is a strong plus
Benefits
Comp & perks- Performance-based bonus awards
- Medical, vision and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- Paid time off (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
- PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
- Live Better U Walmart-paid education benefit, including tuition, books, and fees for eligible programs
- English Language Learning and short-form certificate programs through Live Better U
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 DevelopmentETL ProcessesData Integration StrategiesData Quality AssuranceData Warehousing ConceptsNear Real-Time Data IngestionSQLNoSQL SystemsCI/CD PipelinesWorkflow Schedulers
Soft Skills
CollaborationContinuous Improvement
Tools & Technologies
Apache SparkGoogle Cloud PlatformBigQueryGCSDataprocKafkaSpark Structured StreamingGitAirflowTableau
Industry Keywords
Data GovernanceRegulatory ComplianceData LakesData ModelsOperational Excellence