Data Engineer - NYC

4 days ago

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Aircall

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The phone system for modern business

Call center software • VoIP • Cloud • Business phone system • Customer Support

501 - 1000

💰 Venture Round on 2022-02

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.