Python Developer with Big Data

Description

• Typically requires 8+ years of applicable experience.
• 4+ years of experience in Python development experience is a must
• 2+ years of experience in big data technologies like Spark, Hadoop
• 2+ years of SQL programming experience preferably with databases such as Oracle Exadata
• 2+ years of data wrangling/ETL experience preferably with vendor products such as Alteryx/Trifacta or Informatica
• Knowledge of performance tuning data intensive applications
• Expertise in performance profiling, ability to identify performance improvements and memory optimizations
• Strong coding, debugging, and analytical skills
• Experience in large scale enterprise application design and implementation
• Creative individual with a track record of working on and implementing innovative tech based solutions

Desired Skills

• Degree from outstanding university
• Background in capital calculations
• BS/MS in Computer Science, Engineering, or any quantitative discipline
• Knowledge and/or experience working within the Hadoop or other big data distributed ecosystem
• Knowledge of cloud computing or distributed computing
• 2+ years of Java development is preferred
• Experience working with agile methodologies and SDLC processes would be preferred
• 1+ years of UNIX scripting experience and unit test mock frameworks would be preferred
• Experience in Quartz (Internal bank platform) would be preferred but optional