Python Developer (ETL, Big Data)

You will develop and maintain data-intensive applications for regulatory capital reporting and risk-weighted asset calculations.

Responsibilities

• Develop applications supporting data sourcing, business logic, and process flows for Basel rules-based capital ratios.
• Partner with technology teams to implement target architectures and migrate to strategic platforms.
• Design and implement large-scale enterprise applications.
• Identify performance improvements and memory optimizations through profiling.
• Debug and optimize data-intensive applications.

Required Skills

• 4+ years of Python development experience.
• 2+ years of experience with big data technologies such as Apache Spark and Hadoop.
• 2+ years of SQL programming experience, preferably with Oracle Exadata.
• 2+ years of ETL or data wrangling experience, preferably with Informatica or Alteryx.
• Expertise in performance profiling and memory optimization.
• Strong analytical, coding, and debugging skills.
• Experience with large-scale enterprise application design.

Preferred Skills

• BS/MS in Computer Science, Engineering, or a quantitative discipline.
• 2+ years of Java development.
• 1+ years of UNIX scripting and unit test mock frameworks.