Aircall
The phone system for modern business
Call center software • VoIP • Cloud • Business phone system • Customer Support
501 - 1000
Data Engineer
June 21
🔄 Hybrid – San Francisco
Aircall
The phone system for modern business
Call center software • VoIP • Cloud • Business phone system • Customer Support
501 - 1000
Description
• Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases • Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality • Implement best practices for data management, storage, and security to ensure data integrity and compliance with regulations • Own the core company data pipeline, responsible for converting business needs to efficient & reliable data pipelines • Participate in code reviews to ensure code quality and share knowledge • Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure • Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics • Mentor junior members of the team, providing guidance and support in their professional development • Collaborate with data scientists, analysts, and other stakeholders to drive efficiencies for their work, supporting complex data processing, storage, and orchestration
Requirements
• Bachelor's degree or higher in Computer Science, Engineering, or a related field • 5+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure • Proficient in SQL and Python, with the ability to translate complexity into efficient code • Experience with data workflow development and management tools (dbt, Airflow) • Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure • Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment • Experience with data tooling, data governance, business intelligence, and data privacy is a plus
Benefits
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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