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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 ETL/ELT pipelines using Snowflake, with strong skills in SQL and Python for data integration and transformation. Proficient in building automated data quality checks and collaborating with stakeholders to ensure data accuracy and reliability.
Highest-signal resume keywords
Snowflake WorkloadsSQL ProficiencyPython ProgrammingData Quality AutomationDimensional Data Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL/ELT Pipeline DesignData TransformationData ModelingAPI IntegrationSchema ManagementIncremental ProcessingAutomated TestingOperational AutomationData Quality ChecksCollaborative Development
Soft Skills
Clear CommunicationStakeholder EngagementProblem-Solving
Tools & Technologies
DbtGitStreamlit
Certifications & Qualifications
Bachelor’s Degree in Technical Field
Industry Keywords
Data EngineeringAnalytics EngineeringData ProductsData CompletenessData FreshnessData AccuracyPrivacy Controls
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Design and maintain scalable ETL/ELT pipelines and transformations across Snowflake Bronze, Silver, and Gold layers
- Integrate data from CRM, field activity, marketing, and external sources
- Manage changes with application owners and data providers
- Translate commercial requirements and definitions into consistent, reusable data models
- Build automated checks for data completeness, freshness, accuracy, and schema changes
- Resolve data issues before they reach users
- Monitor workloads and troubleshoot failures
- Support reprocessing and backfills and implement lasting fixes to recurring issues
- Build reliable data products for analytics, reporting, Streamlit, and AI-enabled use cases
- Maintain appropriate access and privacy controls
- Apply engineering practices, automation, documentation, and knowledge sharing
- Partner with the Senior Snowflake Platform Engineer on production delivery and support
- Cross-train to provide reliable coverage for critical workloads
Requirements
What you’ll need- 7+ years of relevant experience in data engineering, analytics engineering, or related disciplines—or equivalent demonstrated depth
- Hands-on experience delivering and supporting production Snowflake workloads
- Strong SQL and Python skills
- Experience building maintainable pipelines, transformations, data-quality checks, and operational automation
- Strong foundation in analytical or dimensional data modeling
- Experience with reusable semantic models and consistent implementation of business definitions
- Hands-on experience integrating APIs, files, or shared datasets
- Experience managing schema changes, incremental processing, reconciliation, reprocessing, and recovery
- Experience with modern transformation practices and tooling such as dbt or equivalent approaches
- Automated data-quality and regression testing experience
- Strong Git and collaborative development practices, including peer review, controlled environment promotion, production monitoring, and incident resolution
- Ability to work directly with non-technical stakeholders and clarify ambiguous requirements
- Bachelor’s degree in a relevant technical field or equivalent practical experience
- Comfort with screen work, basic hand coordination, focus, clear communication, and occasional movement; reasonable accommodations may be made
Benefits
Comp & perks- 99% of the premium paid for medical, dental and vision plans
- Company-paid life insurance
- AD&D benefits
- Disability benefits
- Voluntary plans to personalize coverage
- Dollar-for-dollar 401(k) match up to 6% on eligible contributions
- Long-term stock incentives
- ESPP
- Discretionary quarterly bonus
- Extremely flexible wellness benefit
- Generous PTO
- Paid holidays
- Company-wide shutdowns