Senior Data Engineer (Analytics) at Aircall | Torre

Senior Data Engineer (Analytics)

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Full-time

Legal agreement: To be defined

USD75.4K - 100K/year

~COP150M - 200M/year

+ Equity

+ Bonuses

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Hybrid (Europe)
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Posted over 2 years ago

Requirements and responsibilities


Aircall is a place where voices are valued. Backed by over $220 million of investment since 2015, Aircall creates technology that fuels accessible, transparent, and collaborative communication to empower its base of 14,000+ customers. Conversation is a cornerstone of Aircall's culture, and the company values the voices of its people from all backgrounds and locations. Aircall is committed to promoting diversity, equity, and inclusion, and strives to create a strong sense of belonging for all employees. Aircall is seeking an engaged and passionate Senior Data Engineer to join the Engineering Team and be part of the team managing the analytics & event platform stack. The role involves responsibilities in requirements analysis, scalable & low latency streaming platform solution design, architecture, end-to-end delivery of key modules, data model optimization, query optimization, and more. The ideal candidate will have a Bachelor's degree in a technical field, 3+ years of experience with near real-time analytics, experience with modern programming languages, and expertise in AWS, Airflow, Looker, and continuous deployment processes based on GitLab. Responsibilities: - Analyze and translate business needs into data model & optimize for big data - Identify slow queries and optimize for better performance - Write clean scalable code using Scala / python / SQL and test and deploy applications and systems - Solve challenging data problems in near real-time utilizing optimal data architectures, frameworks, and query techniques - Deliver high quality, secure, and scalable solutions to Aircall clients - Participate in product and platform performance optimization and live site monitoring - Mentor team members through giving and receiving actionable feedback