Senior Data Architect

1 week ago

Islamabad, Islamabad, Pakistan beBeeBackend Full time $150,000 - $200,000

At the heart of our operations lies a senior-level role for an adept Python developer who will be pivotal in crafting and maintaining backend infrastructure, building high-quality data products, and resolving complex problems utilizing automotive datasets.

Key Responsibilities:
  • Spearhead the design, development, and deployment of core backend systems and data products to ensure seamless integration and maximum efficiency.
  • Build scalable, high-performance infrastructure to support data-heavy applications, guaranteeing swift processing and precise results.
  • Optimize backend systems for maintainability, performance, and scalability, eliminating bottlenecks and minimizing downtime.
  • Oversee and maintain production systems to ensure reliability, up-time, and data accuracy, adhering to the highest standards of quality control.
  • Proactively troubleshoot and resolve technical issues in live environments, ensuring prompt resolution and minimal disruption.
  • Leverage proprietary datasets to solve industry-specific problems and deliver value to customers through innovative solutions.
  • Collaborate closely with developers, analysts, and stakeholders across the organization to foster a culture of open communication and knowledge sharing.
  • Mentor junior developers, providing guidance on best practices, code quality, and career growth to nurture their skills and expertise.
  • Develop and maintain clear, up-to-date technical documentation for systems and processes, ensuring transparency and ease of use.
Requirements:
  • 3+ years of experience in Python (preferably in a production environment), with a solid understanding of best practices for writing clean, maintainable code.
  • Hands-on experience with Python frameworks such as Flask, FastAPI, and optionally Scrapy for data scraping.
  • Strong working knowledge of Linux systems and SQL databases. Experience with distributed databases is a plus.
  • Experience with PostgreSQL or MySQL in production environments.
  • Experience designing, building, and supporting backend systems from scratch.
  • Comfortable managing and optimizing live production systems.
  • Familiarity with data scraping techniques and large-scale data processing.
  • Self-driven and highly productive with minimal supervision in a remote work environment.
  • Strong written and verbal communication skills, with the ability to work across time zones and collaborate with a global team.

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