- Able to drive successful completion of analytics deliverables.
- Ensures quality and reliability of data obtained from client sources and offline data sources (ensuring that data contains required information for analytics and modeling)
- Build and maintain complex data pipelines.
- Drill down on results (problem-solving analysis) and conduct custom analysis.
- Reconcile data and procedures with internal teams.
- Ensure data integrity on review of historical data.
- Understand business requirements and transform them into data models.
- Design and implementation of data products enabling data-driven features or business solutions.
- Build and launch new data models and data marts that provide intuitive analytics to the organization.
- BS (CS or related field)
- Experience: 3-4 years
- Communication Skills
- Problem-Solving Abilities
- Pressure Handling
- Data analysis expertise using SQL is mandatory
- Expertise in Python, R, and Google Analytics
- Experience with ReveneCat, Adjust, AppsFlyer etc.
Data Engineer - Remote, United States - Vyro
1 month ago
Description
Who We Are:Vyro builds the next generation of content creation tools powered by Artificial Intelligence and Machine Learning to empower you to express your creativity. With its global presence, Vyro offers 20 content creation apps unleashing the creativity of over 5 million active users every month. Vyronauts are passionate, driven and purposeful and we're currently looking for more of such people to join our team.
About the Role:
As a Data Engineer at Vyro, you would be responsible for developing and optimizing scalable inference pipelines, ensuring reliability and accuracy through comprehensive testing and monitoring.
What You'll Do:
What We're Looking For: