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addressEndereçoFoz do Iguaçu, PR
CategoriaEngenharia

Descrição do trabalho

Esta é uma vaga de um cliente da GeekHunter, candidate-se para ter acesso às informações completas sobre a empresa.

Code Review and Technical Oversight : Start the day by reviewing code commits from the team, especially focusing on critical components in .

NET, Python, or React projects. Offer constructive feedback and ensure adherence to coding standards and best practices.

Technical Problem-Solving : Engage in solving complex technical challenges, often collaborating with team leads or key developers.

This could involve debugging significant issues, optimizing performance, or providing solutions in data science algorithms.

Project Progress Monitoring : Review the progress of ongoing projects. This involves assessing development timelines, checking on deliverables, and ensuring that project milestones are being met.

Team Collaboration and Mentoring : Spend time mentoring developers, especially junior team members, providing guidance on technical aspects like efficient coding in Python, best practices in React development, or approaches in data science.

Hands-On Development Work : Depending on the need, engage in hands-on development work. This could involve writing critical pieces of code, developing prototypes, or contributing to key features in the company’s products.

Meetings and Coordination : Conduct or attend meetings for project updates, technical discussions, or strategy planning. This may include stand-ups with development teams, strategy sessions with other managers, or meetings with stakeholders.

Resource Management : Assess and allocate resources effectively, ensuring that teams working on .NET, Python, React, or data science projects have the necessary tools and personnel to achieve their goals.

Quality Assurance and Testing Strategy : Oversee or contribute to the formulation of testing strategies, ensuring high-quality output in all development areas, including robustness in web applications or accuracy in data science models.

Learning and Research : Dedicate time to keeping abreast of the latest trends and advancements in .NET, Python, React, and data science.

This may include reading articles, exploring new tools, or experimenting with new methodologies.

Performance Review and Feedback : Provide feedback to team members, addressing any performance issues and recognizing achievements.

This could involve one-on-one sessions or informal check-ins.

Risk Assessment and Mitigation : Continuously assess potential risks in projects and take proactive steps to mitigate them.

This might involve revising project plans, addressing technical debts, or adjusting resource allocations.

Customer and Stakeholder Engagement : Engage with customers or stakeholders, especially on understanding their requirements or discussing how current technical solutions align with their needs.

Documentation and Reporting : Update or review documentation related to project plans, technical specifications, or architectural decisions.

Also, prepare reports for higher management outlining the progress, challenges, and strategies of the development teams.

Expertise in Relevant Technologies : Profound knowledge in .NET framework, Python, web development, React, and data science.

This includes understanding best practices, libraries, and frameworks specific to these technologies for effective technical guidance and decision-making.

Strategic Technological Insight : Ability to formulate long-term technological strategies that leverage the strengths of .

NET, Python, React, and data science to meet organizational goals and respond to market trends.

Leadership in a Technical Environment : Strong leadership skills tailored to a technical setting, capable of inspiring and guiding a large team working on diverse technologies.

Includes fostering a culture of innovation and continuous improvement.

Project Management with Technical Depth : Proficient in managing complex software projects, especially those involving .NET, web development, and data science.

This includes efficient resource allocation, timeline management, and balancing technical challenges with project deliverables.

Problem-Solving in Software Development : Enhanced problem-solving skills, particularly in debugging, optimizing, and innovating within the .

NET, Python, and React ecosystems.

Effective Communication Across Technologies : Exceptional ability to communicate complex technical concepts clearly across different technology domains (like .

NET and data science) to both technical and non-technical stakeholders.

Adaptability to Technological Shifts : Agility in adapting to new developments and shifts in .NET, Python, web development, React, and data science landscapes.

Focused People Management : Skills in nurturing and managing a diverse team of developers, encouraging continuous learning and specialization in key technology areas like .NET and data science.

Quality Assurance in Diverse Technologies : Knowledge in implementing quality assurance practices specifically suited for .

NET, Python, web development, and React projects.

Risk Management in Software Projects : Ability to foresee and mitigate risks particularly associated with .NET, Python, and React-based projects.

Customer-Centric Development : Ensuring that development efforts in web development, React, and data science align with customer needs and expectations.

Operational Efficiency with Technology Stack : Optimizing workflows and processes for a team working across diverse technologies like .NET, Python, and React.

Collaboration and Technological Synergy : Fostering a collaborative environment that integrates the strengths of different technologies for innovative solutions.

Ethical and Professional Conduct : Upholding ethical standards, especially in the application and management of data science projects, and maintaining professionalism across all technological engagements.

Commitment to Learning and Innovation in Tech : Encouraging continuous learning and staying updated with the latest trends and advancements in .

NET, Python, web development, React, and data science.

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Refer code: 1536373. Geekhunter - O dia anterior - 2024-02-26 02:43

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