Software Engineer III - Bigdata, Spark, AWS - Data Engineering
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines and architectures using Bigdata, Spark, AWS, and SQL to support enterprise analytics.
Execute software engineering solutions across multiple technical areas with focus on performance, reliability, and maintainability including ETL workflows.
Leverage enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and maintain secure coding standards.
Minimum Requirements
7+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Hands-on experience with Bigdata, Spark, AWS, and SQL; knowledge of cloud platforms and distributed data processing.
Experience in system design, application development, testing, and operational stability in large corporate environments.
Experience using AI-assisted software development tools critically evaluating and validating outputs; understanding of SDLC and agile methodologies including CI/CD, security, and resiliency.
Ideal Candidate Profile
Experienced software engineer with strong expertise in data engineering using Bigdata, Spark, and AWS in enterprise settings.
Proficient in developing scalable ETL pipelines and architectures supporting analytics use cases with emphasis on performance and maintainability.
Familiarity with AI-assisted development tools and responsible AI practices integrated into agile software development lifecycle.