Job responsibilities
- Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to build solutions or solve technical problems.
- Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.
- Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to continuously improve software applications and systems.
- Proactively identify hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture.
- Contribute to software engineering communities of practice and events exploring new and emerging technologies.
- Add to team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts with 3+ years of applied experience.
- Strong experience in big data technologies.
- Hands-on experience in system design, application development, testing, and operational stability.
- Proficient in coding, preferably in Python/PySpark.
- Experience with distributed computing frameworks like Apache Spark/PySpark.
- Strong SQL querying skills.
- Knowledge of AWS services: EMR, EC2, Lambda, S3; SQS,
- Experience in developing, debugging, and maintaining code in large corporate environments.
- Overall knowledge of the software development life cycle.
- Solid understanding of agile methodologies, including CI/CD, application resiliency, and security.
- Demonstrated knowledge of software applications and technical processes in areas like cloud, AI, and machine learning.
Preferred qualifications, capabilities, and skills
- Familiarity with Big data technologies
- Exposure to cloud technologies
- Scala, SNS, Athena, Glue are a plus.