Senior Data Engineer - Real time analytics

Aircall

Remote regions

France

Benefits

Responsibilities:

  • Own the analysis, design, architecture, and delivery of key modules for near real-time data solutions.
  • Translate business needs into optimized data models and solve data problems using structured and unstructured sources.
  • Write, test, and deploy scalable code using Scala, Python, or SQL.

Tech Stack:

  • Utilize AWS services including Kinesis, Kafka, S3, Redshift, and EKS.
  • Work with Apache technologies like Pinot, Flink, and Airflow.
  • Engage with a continuous deployment process based on GitLab.

Requirements:

  • Hold a Bachelor's degree in a technical field such as computer science or mathematics.
  • Possess 3+ years of experience with near real-time analytics and 5+ years with modern programming languages.
  • Demonstrate experience in designing complex data pipelines, data modeling, and query optimization.

Aircall

Aircall is an AI-powered customer communications platform integrating voice, SMS, WhatsApp, and AI into a single workspace. The company is headquartered in Paris with teams across Europe, North America, and other global locations, and is characterized by a fast-paced, ambitious, and product-driven culture.

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