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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 engineeringdata pipelinesdata modelinglegacy code refactoringautomated data solutionsmodular code designKPI consolidationdata quality assuranceperformance optimizationreusable components
Soft Skills
collaborationindependenceownershipcross-functional teamworkcontinuous improvementcommunicationproblem-solvingadaptabilityinitiativeattention to detail
Tools & Technologies
GitHubDatabricksGeniedata analyticsversion controldata structuresautomated reportingdata solutionsdata architectureanalytics datasets
Industry Keywords
Journey Analyticsscalable data solutionsdata qualitydata performancedata reliabilityanalytics use casesdata processesdata attributesstandardized datadata views
Tech Stack
Tools & technologiesAWSPySparkPython
About the role
Key responsibilities & impact- Build, maintain, and optimize scalable data solutions to support Journey Analytics initiatives.
- Maintain, optimize, and automate existing code repositories in GitHub.
- Refactor legacy code to simplify maintenance, updates, and reuse across multiple use cases.
- Design and build modular, reusable code components to support multiple journeys and reduce duplication.
- Develop and manage automated data pipelines in Databricks to support Journey Analytics datasets and downstream reporting.
- Consolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible journey views.
- Build and maintain scalable data models to support current and future journey analytics use cases.
- Ensure data quality, performance, and reliability across data pipelines and analytics datasets.
- Collaborate with analytics and engineering teams to improve data processes and architecture.
Requirements
What you’ll need- 4+ years of experience in Data Engineering.
- Strong experience working with GitHub repositories and version control workflows.
- Hands-on experience developing and maintaining data pipelines in Databricks.
- Proven experience refactoring and maintaining legacy codebases.
- Strong understanding of data modeling and reusable component design.
- Experience building scalable data models for analytics and reporting use cases.
- Strong focus on data quality, performance, and reliability.
- Ability to work in cross-functional environments and contribute to continuous improvement.
- Ability to work independently and take ownership of initiatives after receiving high-level direction, driving tasks forward with minimal supervision.
- Experience using Genie (Databricks) (Plus).
Benefits
Comp & perks- Access to AI learning paths to stay up to date with the latest technologies.
- Study plans, courses, and additional certifications tailored to your role.
- Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
- English lessons to support your professional communication.
- Travel opportunities to attend industry conferences and meet clients.
- Career development plans and mentorship programs to help shape your path.
- Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
- Company-provided equipment.
- Flexible working options to help you strike the right balance.
- Other benefits may vary according to your location in LATAM.