Software Engineer - Big Data Engineer

Looking for 9 Plus years of experience

As a Software Engineer within the Corporate Investment Banking Treasury Services you are part of an agile team that works to enhance design and deliver the software components of the firms stateoftheart 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

• Executes standard software solutions design development and technical troubleshooting
• Writes secure and highquality code using the syntax of at least one programming language with limited guidance
• Designs develops codes and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers analyzes and draws conclusions from large diverse data sets to identify problems and contribute to decisionmaking in service of secure stable application development
• Learns and applies system processes methodologies and skills for the development of secure stable code and systems
• Adds to team culture of diversity equity inclusion and respect

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years applied experience
• Programming experience in Java Python Groovy Scala JavaScript ReactJS
• Hands on experience with BigData and distributed computation systems (HDFS Spark Apache Flink Databricks)
• Hands on experience with SQL and NoSQL databases
• Experience building applications on AWS Spring Boot and Cloud native foundations
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD Applicant Resiliency and Security
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)

Preferred qualifications capabilities and skills

• Data Modeling skills
• Experience building AI/ML based applications