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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operationalizing complex data solutions, including ETL pipelines and data governance practices. Proficient in data modeling techniques and cloud services, with strong problem-solving and communication skills to support cross-team collaboration.
Highest-signal resume keywords
ETL Pipeline DevelopmentAWS Cloud ServicesData Modeling TechniquesData Governance PracticesComplex Data Analysis
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 CleansingData Quality SolutionsData Warehouse DesignData Architecture PatternsAutomated TestingData Movement TestingData Pipeline SupportMachine Learning SolutionsBusiness Intelligence Solutions
Soft Skills
Strong Problem-Solving SkillsExcellent Communication SkillsCollaboration Across Teams
Tools & Technologies
AWSDbtAb InitioS3IAMLambdaCloudWatch
Industry Keywords
Data GovernanceData QualityData EngineeringData AnalyticsData Solutions
Tech Stack
Tools & technologiesAWSCloudETL
About the role
Key responsibilities & impact- Build and operationalize complex data solutions
- Correct problems and apply data transformations
- Recommend data cleansing and quality solutions
- Design complex data solutions
- Analyze complex data sources to determine value and usage
- Recommend data for inclusion in analytical processes
- Apply data governance, security, and quality practices
- Collaborate across teams to support delivery
- Educate end users on complex data products and analytics environments
- Analyze, assess, and resolve complex data and system defects and incidents
- Test data movement, transformation code, and data components
- Support data pipelines and solutions for artificial intelligence, machine learning, and business intelligence
Requirements
What you’ll need- Eight years of relevant experience
- Proven experience building ETL pipelines using AWS, dbt, or another ETL tool
- Understanding of AWS cloud services and data architecture patterns, including S3, IAM, Lambda, and CloudWatch
- Experience with data modeling techniques, including star and snowflake schemas
- Experience with data warehouse design principles
- Bachelor's degree in computer science, a related STEM field, or equivalent education and/or work experience
- Four additional years of data engineering experience
- Strong delivery skills, including software design strategy, automated testing, analysis, feedback loops, and monitoring
- Strong problem-solving skills involving complex data and systems
- Excellent communication skills and ability to develop business partnerships and document initiatives clearly
- Experience with Ab Initio for enterprise-scale ETL development is a plus
Benefits
Comp & perks- Performance-based cash incentive awards
- Health insurance from the first day of employment for employees and eligible family members
- 401(k) dollar-for-dollar matching up to the first 5% of eligible pay
- Paying it Forward Savings Program contributions for employees with student loan debt
- Pension Plan 100% funded by Travelers
- Minimum of 20 days Paid Time Off annually
- Nine paid company holidays
- Wellness program with tools, discounts, resources, health coaching, and caregiving support
- Free professional counseling services and mental health resources
- Matching Gift and Volunteer Rewards program
