Cloudbeds - Remote Development Jobs
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Requirements
• Technical Expertise & Scalability Mindset Deep knowledge of data architecture, ETL/ELT pipelines, and distributed systems, with the ability to design scalable, high-performance solutions. • Problem-Solving & Ownership A proactive approach to diagnosing issues, improving infrastructure, and taking full ownership from concept to production. • Code Quality & Best Practices Strong skills in writing clean, maintainable code (e.g., in Python, SQL, or Scala) and championing best practices like version control, testing, and CI/CD for data. • Collaboration & Mentorship The ability to work cross-functionally with analysts, data scientists, and engineers, while mentoring junior team members and raising the team’s technical bar. • Data Governance & Reliability Focus A strong sense of responsibility for data accuracy, lineage, and security—building systems that others can trust and scale on. • What Sets You Up for Success: • Clear Business Context Understanding the “why” behind data needs—when goals and use cases are clear, it’s easier to design impactful and relevant solutions. • Autonomy with Trust The freedom to make technical decisions, explore solutions, and iterate—paired with the trust that you’ll deliver with quality and accountability. • Strong Team Collaboration Being part of a team that shares knowledge openly, helps each other unblock challenges, and values collective wins over individual credit. • Access to Quality Tooling & Infrastructure Having the right modern tools (e.g., Airflow, dbt, Spark, Flink, cloud platforms) and the ability to improve them when needed sets the foundation for effective work. • Supportive Leadership & Growth Mindset Managers who advocate for your growth, give regular feedback, and create space for learning and experimentation help sustain long-term success. • Leadership skills: guiding and mentoring junior members, coordinating projects and collaborating with other teams. • Domain Knowledge: Having understanding of the hospitality industry can greatly enhance your ability to design and build effective data pipelines. • Data Architecture Expertise: Contributing to designing data architecture and system and having deep understanding of data storage and ability to design a robust, scalable and maintainable architecture is a valuable skill. • Performance Optimization: Being able to optimize the performance of data pipelines is a crucial skill such as query optimization, indexing, caching and data partitioning. • Programming knowledge: Knowledge of Python and SQL is essential, familiarity with Java and other languages is a plus. • Experience working with a remote-first and globally distributed team • Experience with CI/CD tooling, including GitHub Actions and Build Workflows • Knowledge of Confluent and AWS
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