Full-stack Engineer

• Design and implement core components of the data platform (e.g., data lake, streaming infrastructure, DaaS, catalog), emphasizing scalability, reliability, and observability.
• Balance hands-on delivery with architectural foresight, contributing to cross-functional initiatives that strengthen the platform.
• Partner with data and engineering stakeholders to understand requirements and deliver effective, efficient solutions for data acquisition, transformation, and integration.
• Write unit and integration tests, validating software against acceptance criteria to ensure platform reliability.
• Apply and promote team standards for coding, documentation, and testing, ensuring maintainable and high-quality engineering practices.
• Conduct impact analysis to identify dependencies and assess potential risks of changes across applications and services.
• Develop a strong understanding of platform use cases and business processes to align technical solutions with organizational needs.
• Experiment with new tools and approaches, validate assumptions, and recommend solutions that improve the platform’s capabilities.
• Participate in design and code reviews, providing constructive feedback and communicating changes effectively.
• Document platform components and designs, ensuring projects are maintainable and understandable by others.
• Troubleshoot and resolve production issues, proposing effective solutions to restore platform stability.
• Contribute to sprint commitments and actively engage in Agile practices, including retrospectives and process improvements.
• Engage in continuous learning, deepening knowledge of modern data platform technologies, distributed systems, and engineering best practices.

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