Software Engineer - Big Data Engineer

Job Description: Mainly we are looking for AWS Not Azure OR GCP Looking for 8 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 nd 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/Client based applications