Software Engineer II - Python/Java/ Scala, Apache Spark, Big Data

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Commercial and Investment Bank's Risk Central Team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

• Investigate data issues, provide support on data issues.
• Develop automation for data extraction.
• Design and tune schema for data landed on platform, land data from various firm sources into big data warehouse
• Partner with information modelling teams on firm wide logical data models.
• Act as a primary subject matter expert (SME) for data in analytics platform.
• Develop data quality rules and controls for data
• Analyze and solve query performance bottlenecks in Cloud based warehouses like Redshift and AWS Glue

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• 3+ years of experience in big data and analytics.
• Strong hands on coding in any one of Python, Java and Apache Spark & SQL
• Strong CS fundamentals, data structures, algorithms with good understanding of big data
• Experience with AWS application development
• Excellent communication skills are a must for this position
• Experience with Unix/Linux and shell scripting

Preferred qualifications, capabilities, and skills

• Ability to code in Apache Spark using Scala is an added advantage
• Good understanding of data modelling challenges with big data
• Experience with services such as Lambda, Glue, ECS/EKS would be an added plus.
• Good understanding of Financial data especially in front office investment banking is a major plus