Software Engineer III - Glue/Python/Pyspark

Job Responsibilities

• Participates in, design and develop scalable and resilient systems using AWS ETL
• Executes software solutions, design, development, and technical troubleshooting
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets
• Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing and operational stability
• Proficient in coding in Glue, EMR
• Proficient in SQL/NoSQL databases
• Exposure to AWS cloud technologies
• Recent experience developing data ingestion from on premise applications to private cloud AWS using related services like S3, Lambda, SQS, Event Bridge, Glue/Glue Studio/Glue workflows/Glue Data Catalogue, Cloud watch, Aurora MySQL/PostgreSQL databases, and EMR with Python /Pyspark
• Recent experience with application development skills for more than one Cloud and Traditional Data Engineering technology including AWS Services like Glue, EMR, data warehouse
• Recent experience with comprehensive analysis and design experience with demonstrated knowledge of RDMS systems like Oracle, good in writing and understanding SQL, PL/SQL constructs
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation)
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.