Software Engineer III - Bigdata, Spark, AWS - Data Engineering

Design, develop, and maintain scalable data pipelines and architectures using Bigdata, Spark, and AWS to support enterprise analytics.

Execute software solutions including coding, debugging, troubleshooting, and apply data engineering best practices for performance and reliability.

Leverage enterprise-authorized AI coding assist tools to improve code quality, speed, and productivity while ensuring secure and maintainable software delivery.

7+ years of applied software engineering experience with formal training or certification in software engineering concepts.

Hands-on experience with Bigdata, Spark, AWS, SQL, and cloud platforms (AWS) along with distributed data processing.

Practical experience in system design, application development, testing, operational stability, and agile methodologies including CI/CD, resilience, and security.

Experience using enterprise-authorized AI-assisted software development tools with ability to validate AI-generated outputs and responsible AI practices.

Experienced in large corporate environments with modern programming and database querying languages in agile team settings.

Strong capability in building and optimizing complex data workflows and ETL pipelines oriented towards enterprise analytics use cases.

Skilled in applying AI-assisted coding tools responsibly and consistently contributing to improving coding hygiene, system architecture, and team productivity.