python/etl developer

$135,741 - $141,981/Yr

Randstad - Jersey City, NJ

Full-time - Mid Level

Jersey City, NJ

Administrative and Support Services

About the position

The Enterprise Capital Management technology team is seeking an exceptional individual performer who can thrive in a fast-paced agile environment. The primary objective of our team is to ensure that Client and its subsidiaries comply with regulatory capital reporting requirements under the Basel rules. This involves developing a stable, scalable, and sustainable capital reporting and analysis platform. The project focuses on elaborating requirements for data sourcing elements necessary for calculating risk-weighted assets, detailing the business logic for computing these financial elements, and defining the process flow and formulas for generating Basel rules-based capital ratios. These requirements are captured for various entities at Client, including Client and related depository institution entities. In this role, you will be responsible for hands-on application development to support both current and target processes. You will also partner with multiple Technology teams to implement the target architecture and facilitate migration to a strategic platform. This position typically requires over 8 years of applicable experience, with a strong emphasis on Python development, big data technologies, and SQL programming. The ideal candidate will possess exceptional coding, debugging, and analytical skills, along with a proven track record of working on and implementing innovative tech-based solutions.

Responsibilities

• Hands-on application development to support current and target processes.
• Partnering with multiple Technology teams to implement target architecture and migration to strategic platform.
• Elaborating requirements for data sourcing elements for calculating risk-weighted assets.
• Detailing business logic for computing financial elements and defining process flow and formulas for generating Basel rules-based capital ratios.
• Performance tuning of data-intensive applications and identifying performance improvements and memory optimizations.

Requirements

• 4+ years of experience in Python development is a must.
• 2+ years of experience in big data technologies like Spark and 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 and memory optimizations.
• Exceptional coding, debugging, and analytical skills.
• Experience in large-scale enterprise application design and implementation.

Nice-to-haves

• Degree from an 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 platform) would be preferred but optional.

Benefits

• Comprehensive benefits package including health insurance.
• Incentive and recognition program.
• 401K contribution.