TL;DR
Mid-Level Data Engineer (AI): Building AI-powered solutions by organizing and leveraging digital information about existing and potential partners with an accent on enhancing partner and user experiences. Focus on processing, analyzing, and utilizing data to improve partner content, user recommendations, business insights, and overall platform quality.
Location: Remote (Brazil)
Company
hirify.global is revolutionizing workplace wellness by connecting employees worldwide to partners for fitness, mindfulness, therapy, nutrition, and sleep.
What you will do
- Develop and maintain data models and structures that enable efficient querying and analysis.
- Design, develop, and maintain data pipelines to transform and process large volumes of data from various sources.
- Implement automated data quality checks to guarantee data quality and consistency.
- Inspire and empower others by genuinely caring for your own wellbeing and your colleagues.
Requirements
- Experience creating robust and scalable data models from business requirements.
- Experience working collaboratively to collect, prepare, and analyze complex business data.
- Ability to engage engineering and product teams to elicit requirements and present solutions to top management.
- Knowledge of data pipeline tools and technologies (e.g., Airflow, EMR, Kafka).
- Comfortable understanding big data concepts to ingest, process and make data available for data scientists, business analysts and product teams.
- Comfortable maintaining data consistency across the entire data ecosystem.
Culture & Benefits
- Free Gold+ membership with access to gyms, studios, digital fitness programs, and online wellness resources.
- Complete emotional wellbeing program with personalized journeys that combine therapy sessions and on-demand content.
- Flexible work options to give you the freedom to work in a way that suits you.
- Flexibility to shape how and when you get things done.
- Career growth: Access world-class platforms, participate in interactive sessions, build your personalized development roadmap, and explore internal opportunities.
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