As a Software Engineer III at JPMorgan Chase within the Risk Central development team, you will have the opportunity to work at the intersection of critical front office, product control facing data analytics, and big data technologies. You will be part of a high-energy team, helping us build our next-generation business analytics platform by landing financial data from various front office and product control platforms. This role offers a chance to be the primary subject matter expert for data in our analytics platform, develop data quality rules and controls, and analyze and solve query performance bottlenecks in cloud-based warehouses like Redshift and AWS Glue.
Job Responsibilities
- Land data from various firm sources into big data warehouse
- Investigate data issues, provide support on data issues
- Develop automation for data extraction.
- Design and tune schema for data landed on platform
- Partner with information modelling teams on firmwide logical data models
- Drive 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 Computer Science concepts and 3+ years applied experience
- 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, capabilities and skills
- 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
As a Software Engineer III at JPMorgan Chase within the Risk Central development team, you will have the opportunity to work at the intersection of critical front office, product control facing data analytics, and big data technologies. You will be part of a high-energy team, helping us build our next-generation business analytics platform by landing financial data from various front office and product control platforms. This role offers a chance to be the primary subject matter expert for data in our analytics platform, develop data quality rules and controls, and analyze and solve query performance bottlenecks in cloud-based warehouses like Redshift and AWS Glue.
Job Responsibilities
- Land data from various firm sources into big data warehouse
- Investigate data issues, provide support on data issues
- Develop automation for data extraction.
- Design and tune schema for data landed on platform
- Partner with information modelling teams on firmwide logical data models
- Drive 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 Computer Science concepts and 3+ years applied experience
- 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, capabilities and skills
- 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