aircall - Senior Data Engineer - Real time analytics
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Requirements
• Shipping and maintaining code in production • You like sharing your ideas, and you're open-minded
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 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. • ## Our tech. stack: • AWS (Kinesis,Kafka, s3, DMS, Glue, EMR, EKS, Redshift, Spectrum), Apache Pinot, Apache Flink and Airflow. • A continuous deployment process based on GitLab
Benefits
• 🚀 Key moment to join Aircall in term of growth and opportunities • 💆♀️ Our people matter, work-life balance is important at Aircall • 📚 Fast-learning environment, entrepreneurial and strong team spirit • 🌍 45+ Nationalities: cosmopolite & multi-cultural mindset • 💶 Competitive salary package & benefits (health coverage, lunch, commute, sports) • DE&I Statement:
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