Responsibilities:

  • Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
  • Backend Python development
  • Creating DWH architecture
  • Implementing DWH architecture
  • Implementing ETL process
  • Monitoring performance and advising any necessary infrastructure changes
  • Defining data retention policies

Requirements:

  • Python experience > 4 years
  • Previous team leadership position in a software development engagement
  • Experience of the DWH creation and Data Lake
  • API performance tuning
  • Proficient understanding of distributed computing principles
  • Ability to solve any ongoing issues
  • Experience with building stream-processing systems
  • Experience with integration of data from multiple data sources
  • Experience with NoSQL databases, such as HBase
  • Experience with RDBMS’s like Oracle and MySQL
  • Knowledge of various ETL techniques and frameworks.

Desirable:

  • graduate in quantitative scientific, engineering and/or mathematical discipline (Mathematics generally, Statistics/Probability, Physics, Electrical Engineering, Experimental Psychology, Chemistry, etc.) –– demonstrable deep knowledge in quantitative principles
  • significant experience working closely with business subject matter experts (SME) to achieve business outcomes
  • 3-4 positive, demonstrable business outcomes resulting from work done
  • some experience in contributing to data monetization strategy
  • able to appreciate business questions, not just the science
  • have generated significant IP (internal/proprietary, patents, academic or business journal publications)
  • some experience managing at least 3 people for any given project
  • comfortable with significant travel when needed
  • personable / experience with direct customer interactions
  • experience in startup culture

You will get:

  • Friendly collaborative teams and enjoyable working environment
  • Professional skills development and training programmes
  • Variety of knowledge sharing, training and self-development opportunities
  • State of the art, cool, centrally located offices with warm atmosphere which creates really good working conditions