8 months ago
Monterrey, MexicoStaff+
Responsibilities
- Architect, develop, test, and deploy robust data solutions and architecture diagrams.
- Lead hands-on coding and testing for data engineering initiatives and ensure quality and reliability of deliverables.
- Use Collibra and Starburst to support data governance, data mesh, data management, and integration.
- Perform complex SQL queries and data analyses to support business decisions.
- Design, implement, and test APIs and data solutions using Python.
- Estimate project efforts, coordinate and prioritize multiple projects, and mentor contractors and junior team members.
- Collaborate with cross-functional stakeholders, present project status and technical insights, and align solutions with business goals.
- Work with AI/ML teams on LLM-powered applications, intelligent assistants, enterprise semantic search, and related data use cases.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 8+ years of hands-on experience in the data space, including demonstrated expertise in financial services.
- Extensive experience with data lakes, data governance, data mesh, and data warehouses.
- Advanced proficiency in SQL for data analysis and testing.
- Demonstrated Python programming experience and expertise with APIs.
- Proficiency with CI/CD pipelines, Agile methodologies, and project management tools such as Jira.
- Familiarity with data solutions supporting AI/ML workloads, including MCP, knowledge graphs, and vector databases.
- Preferred experience with Collibra Data Governance, Starburst Data Mesh, marketplace architecture for AI/ML workloads, LLM/RAG, semantic search, and NLP applications.
- Strong project management, communication, presentation, mentoring, and cross-functional collaboration abilities.
Benefits
- 40% in-office monthly work arrangement with flexibility.
- Training, leadership development, and mentorship programs.
- Retirement planning and tuition reimbursement programs.
- Comprehensive healthcare offerings.
- Global parental leave and family-friendly policies.
- Inclusive workplace with Employee Resource Groups.
- Paid volunteer days and matched donation funding.
About Hop
Hop is a privately held staffing marketplace that connects AI, GenAI, and machine-learning talent from Latin America with companies worldwide. It sources, screens, and places data scientists and AI engineers using an in-house assessment platform, and complements recruiting with mentorship and training programs. Founded in 2016 and headquartered in Walnut Creek, California, Hop operates on recruiting and staffing fees for organizations building data and AI products.