Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Proficient with front-end languages and frameworks (e.g. typescript/react)
- Proficient with server-side languages and frameworks (e.g. Java/SpringBoot)
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Knowledge of integration technologies (e.g. GraphQL, REST etc..)
- Hands on experience with Data reporting, BI Tools Tableau, Alteryx
- Hands on experience with Data pipeline, Data Lake technologies Databrick, Spark/Hadoop, Snowflake
Preferred qualifications, capabilities, and skills
- Exposure of designing and deploying applications on AWS
- Practical cloud native experience
- Hands-on exposure to data pipelines/ETL with Spark, on platforms like Databricks and Snowflake