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 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

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality 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 decision-making 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