FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
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.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata pipelinesdata modelinglegacy code refactoringautomated data solutionsmodular code designKPI consolidationdata quality assuranceperformance optimizationreusable components
Soft Skills
collaborationindependenceownershipcross-functional teamworkcontinuous improvementcommunicationproblem-solvingadaptabilityinitiativeattention to detail