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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and scaling cloud data platforms, particularly using Azure, while employing advanced SQL, Apache Spark, and Databricks for data integration and analytics. Proven ability to lead Agile teams in implementing best practices such as TDD, CI/CD, and mentoring engineers.
Highest-signal resume keywords
Azure ETL/ELT Pipeline DevelopmentTest-Driven Development (TDD)Apache Spark and Databricks ProficiencyInfrastructure as Code (Terraform/Bicep)Data Engineering Standards and Documentation
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Architect, build, and scale PrePass’s core data platform
- Design, build, and operate scalable Azure ETL/ELT pipelines integrating data from multiple sources
- Use advanced SQL, Apache Spark, Databricks, and Delta Lake for analytics, reporting, and real-time operational workloads
- Define and execute modernization strategies for legacy SSIS workloads
- Lead proof-of-concept and prototyping work and provide recommendations
- Champion strict TDD, pair programming, continuous refactoring, and automated CI/CD
- Use AI-assisted development tools for code generation, test creation, legacy refactoring, and pipeline anomaly detection
- Operate and monitor mission-critical data systems against data freshness, uptime, and reliability SLAs
- Diagnose and resolve integration and data-quality failures
- Build end-to-end traceability and observability
- Tune pipeline and compute performance for cost and scalability
- Define and evolve data engineering standards and architectural documentation
- Lead continuous improvement initiatives in an Agile environment
- Mentor fellow engineers
Requirements
What you’ll need- Proven experience designing, building, and operating distributed data pipelines and cloud data platforms at scale
- Hands-on expertise in Test-Driven Development (TDD) for data pipelines, including unit, integration, and data-contract tests
- Experience with XP practices including pairing, refactoring, and continuous integration
- Practical experience integrating AI coding assistants and LLM-based tooling into engineering workflows
- Strong experience operating high-availability production systems with uptime, reliability, and observability expectations
- Experience driving engineering standards, architectural reviews, documentation, and mentorship within an Agile team
- Experience with Data Science or Machine Learning, particularly MLOps, model deployment, Feature Store management, or feature engineering on Databricks
- Experience with Infrastructure as Code such as Terraform or Bicep
- Familiarity with event-driven architecture, including queues, batches, and pub/sub models
- Production experience with Databricks, Delta Lake, PySpark/Spark SQL, Databricks Workflows, and Unity Catalog
- Background in high-volume IoT, telematics, or transportation industry data
Benefits
Comp & perks- Medical, dental, and vision benefits starting on date of hire
- Paid Time Off including vacation, sick, holidays, and floating holidays
- 401(k) plan with employer match
- Company-funded lifestyle account for physical and mental well-being expenses
- Tuition Reimbursement Program
- Voluntary benefits including legal and pet discounts
- Employee Assistance Program at no cost
- Company-sponsored Culture Team focused on physical, mental, and professional well-being
- Community Give-Back initiatives
- Employee development initiatives
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLApache SparkDatabricksDelta LakeData Pipeline DesignMLOpsFeature EngineeringAI Coding AssistantsContinuous IntegrationEvent-Driven Architecture
Soft Skills
MentorshipCollaborationLeadershipProblem-SolvingContinuous Improvement
Tools & Technologies
TerraformBicepDatabricks WorkflowsUnity CatalogAI-Assisted Development Tools
Industry Keywords
IoT DataTelematicsTransportation IndustryHigh-Availability SystemsAgile Methodologies