Software Engineer III - Big Data Engineer, Python

As a Software Engineer III at JPMorgan Chase within the Risk Central development team, you will be part of a high-energy team building our next-generation business analytics platform. This role offers a unique opportunity to work at the intersection of critical front office, product control facing data analytics, and big data technologies. You will have the chance to land financial data from various firm sources into a big data warehouse, develop automation for data extraction, and partner with information modeling teams on firmwide logical data models. Join us to become the primary subject matter expert for data in our analytics platform and help us develop data quality rules and controls.

Job Responsibilities:

• Land data from various firm sources into big data warehouse.
• Investigate data issues and provide support on data issues.
• Develop automation for data extraction.
• Design and tune schema for data landed on platform.
• Partner with information modeling teams on firmwide logical data models.
• Serve as the 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, skills and capabilities:

• Formal training or certification on Computer Science concepts and 3+ years applied experience
• Masters or Bachelors in Computer Science with 3+ years of experience in big data and analytics
• Strong hands on coding in Python, Java and Apache Spark & SQL
• Strong CS fundamentals, data structures, algorithms with good understanding of big data
• Experience with AWS application development including services such as Lambda, Glue, ECS/EKS
• Excellent communication skills are a must for this position
Experience with Unix/Linux and shell scripting

Preferred Qualifications, skills and capabilities:

• Good understanding of data modelling challenges with big data
• Good understanding of Financial data especially in front office investment banking is a major plus
• Ability to code in Apache Spark using Scala is an added advantage