Software Engineer III - Big Data, AWS, Spark - Data Engineering
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines and data architectures using Big Data, Spark, and AWS to support enterprise analytics.
Deliver secure, high-quality production code and maintain algorithms aligned with software design and architecture constraints.
Leverage AI-assisted development tools to improve code quality, speed, and productivity, while ensuring compliance with testing and secure coding standards.
Minimum Requirements
7+ years of applied software engineering experience with formal training or certification.
Hands-on experience with Big Data, Spark, AWS, and SQL.
Practical experience in system design, application development, testing, and operational stability in a corporate environment.
Experience using enterprise-authorized AI-assisted software development tools and knowledge of cloud platforms (AWS).
Ideal Candidate Profile
Experienced in building and optimizing scalable data processing workflows within agile teams in large corporate environments.
Capable of integrating AI-assisted tools responsibly into software development workflows with a strong understanding of security and data sensitivity.
Skilled in modern software development life cycle practices including CI/CD, application resiliency, and security within cloud-based distributed systems.