Software Engineer II Python Big Data Spark

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 2+ years applied experience.

• Hands-on practical experience in system design, application development, testing, and operational stability

• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

• Proficient in coding in Java Python and spark

• Knowledge on Restful Microservices using Spring Boot or Python web framework.

• Build data pipelines using Bigdata, Spark

• Hand-son experience on AWS

• Experience across the whole Software Development Life Cycle

• Exposure to agile methodologies such as CI/CD, Application 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

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Familiarity with terraform and containerization (Kubernetes/ECS)