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Responsibilities:
- Translate functional and technical requirements into detailed architecture/design/working software solutions
- Code and test system components; participate in code and design reviews
- Demonstrate ownership of end-to-end code quality, system tests, functional tests, and integration- Be responsible for overall system architecture, scalability, reliability, and performance
* Unleashing the power of Spark: We utilize Spark's distributed processing capabilities to handle massive datasets with blazing speed, ensuring efficient data extraction, transformation, and loading, regardless of volume or complexity.* Building for tomorrow: We architect our pipelines with scalability in mind, adapting to ever-growing data demands and evolving business needs. Our Spark-powered system is built to last.About AWSDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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