Senior Data Engineer – Real Time Analytics

🕒 May 6

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Aircall

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

📡 Telecommunications

☁️ SaaS

🏢 Enterprise

💰 Venture Round on 2022-02

Telecommunications • SaaS • Enterprise

Aircall is a leading provider of cloud-based call center software, designed to streamline business phone communications for companies of all sizes. With innovative features like AI-powered conversation intelligence, smart call routing, and seamless integration with over 100 applications including major CRMs like Salesforce and HubSpot, Aircall enhances team productivity and customer interaction. The platform supports VoIP technology for virtual call center operations, eliminating the need for hardware and allowing for remote work. Trusted by over 19,000 companies worldwide, Aircall caters to various industries such as education, finance, and healthcare, offering a reliable and scalable solution for modern customer communication needs.

📋 Description

• Have key responsibilities within the requirements analysis, scalable & low latency streaming platform solution design, architecture, and end-to-end delivery of key modules in order to provide near real-time data solutions for our product • 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 our most challenging data problems, in near real-time, utilizing optimal data architectures, frameworks, query techniques, sourcing from structured and unstructured data sources. • Be part of an engineering organization delivering high quality, secure, and scalable solutions to Aircall clients • Involvement in product and platform performance optimization and live site monitoring • Mentor team members through giving and receiving actionable feedback.

🎯 Requirements

• A Bachelor's degree in a technical field (eg. computer science or mathematics). • 3+ years experience with near real-time analytics • 5+ years experience with a modern programming language such as Scala, Python, Go, Typescript • Experience of designing complex data processing pipeline • Experience of data modeling (star schema, dimensional modeling etc) in AWS redshift • Experience of query optimisation • Experience of kafka is a plus • Shipping and maintaining code in production • You like sharing your ideas, and you're open-minded

🏖️ Benefits

• Competitive salary package & benefits (health coverage, lunch, commute, sports)