Data Engineer

at  Numadic

ABOUT THE ROLE:

• Apply advanced predictive modeling and statistical techniques to design, build, maintain, and improve upon multiple real-time decision systems.
• Visualize and show complex data-sets via multidimensional visualization tools.
• Perform data cleansing, transformation & feature engineering.
• Design scalable automated data mining, modelling and validation processes.
• Produce scalable, reusable, efficient feature code to be implemented on clusters and standalone data servers.
• Contribute to the development/ deployment of machine learning algorithms, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

ROLE REQUIREMENTS:

• An absolute minimum of 1-3 years of relevant data engineering experience.
• Knowledge & working proficiency in Python, SQL
• Should be able to create APIs or have experience using APIs to fetch data.
• Deep understanding about statistical and analytical models.
• Bias for action - Ability to move quickly while taking time out to review the details.
• Clear communicator - Ability to synthesise and clearly articulate complex information, highlighting key takeaways and actionable insights.
• Team player - Working mostly autonomously, yet being a team player keeping your crews looped-in.
• Mindset - Ability to take responsibility for your life and that of your people and projects.
• Mindfulness - Ability to maintain practices that keep you grounded.