Data Engineer

Requirements:

• Data Analyst, with SQL, Python, Excel, Strong Statistics or Mathematics background
• Drive personalization, real-time decision-making, causal inference, and predictive analytics capabilities.
• Conduct quantitative analysis of experimental, and textual data to generate insights and drive decision making.
• Working knowledge of SQL, Presto, Spark.
• Write well documented code that can be shared and used across teams, and can scale to be used in existing products

Soft skills:

• Ability to communicate findings clearly to both technical and non-technical audiences and to effectively collaborate within cross-functional teams
• We follow agile framework and processes. Hence, cross-functional collaboration, communication skills and a focus on delivering a great user experience are a must.
• You have a sense of urgency, move quickly and ship things

Bonus Points:

• Experience in Deep Data analytics and Search Engine Optimization.
• You’re experienced in metrics and experiment-driven development
• PhD or MS in computer science, machine learning, or statistics

Education:

• Minimum bachelor’s degree