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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expert proficiency in data transformation tools and cloud data warehouses while leading a diverse team of Analytics Engineers. Focuses on fostering team growth, ensuring data quality, and implementing effective analytics engineering processes.
Highest-signal resume keywords
Expert Proficiency With Data Transformation ToolsIntermediate Proficiency With Cloud Data WarehousesKnowledge Of Data Integration PatternsExperience Mentoring EngineersExperience Optimizing Resource Allocation
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 ModelingData Quality AssuranceData VisualizationAnalytics EngineeringData IntegrationResource AllocationProcess ImprovementData GovernancePerformance Measurement
Soft Skills
Team LeadershipMentoringCollaborationProblem SolvingCommunication
Tools & Technologies
DbtSnowflakeFivetranAzure Data FactoryApache Airflow
Industry Keywords
Analytics EngineeringData SolutionsData ProductsData-Driven Decision-MakingEmployee Retention
Tech Stack
Tools & technologiesAirflowApacheAzureCloudSnowflake
About the role
Key responsibilities & impact- Lead and manage a diverse team of Analytics Engineers at different career levels
- Foster team growth and wellbeing while pairing with the team to solve analytical challenges
- Work with data solutions managers and the director to ensure adequate and sustainable analytics engineering coverage across engagements
- Work with clients to build data modeling and transformation guidelines
- Measure and track deliverables and implement analytics engineering tools supporting data-driven decision-making
- Develop strategies ensuring data quality and consistency across data products
- Improve analytics engineering deliverables through internal process reviews
- Build data visualization guidelines and measure and track reporting deliverables
- Drive employee retention, resourcing, learning management, presales, feedback gathering, QA, and internal analytics engineering processes
- Stay up to date with industry trends and actively contribute to analytics engineering solutions
Requirements
What you’ll need- Expert proficiency with data transformation tools (e.g., dbt)
- Intermediate / expert proficiency with cloud data warehouses (e.g., Snowflake)
- Intermediate / expert proficiency with data modeling approaches and philosophies (e.g., Kimball, OBT)
- Knowledge of common data integration patterns (e.g., CDC, ELT, etc.)
- Knowledge of common data integration / orchestration platforms (e.g., Fivetran, Azure Data Factory, Apache Airflow)
- Experience mentoring and advising other engineers
- Experience optimizing resource allocation by assessing team members' strengths and assigning tasks according to their expertise while promoting skill growth
- Frequent sitting at a desk performing work on a computer
- Must not require employer sponsorship; Velir does not sponsor candidates and cannot accept those on OPT or CPT
Benefits
Comp & perks- Competitive pay
- Excellent benefits
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
