Senior Data Engineer - Real time analytics

Aircall

Contract type

Ongoing

Work mode

On-site · On-site (see listing for address)

Experience

Senior · 5+ years

Job description

Analyze requirements and translate business needs into data models optimized for big data
Design scalable, low-latency streaming platform solutions and architecture, and deliver key modules end-to-end for near real-time data solutions
Identify slow queries and optimize for better performance
Write clean, scalable code using Scala, Python, and SQL; test and deploy applications and systems
Solve challenging data problems in near real-time using optimal data architectures, frameworks, query techniques, and structured/unstructured data sources
Contribute to an engineering organization delivering high-quality, secure, 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
Company mission
Information not specified

Core technologies

SQLPython (Programming Language)

Competitive salary package and benefits including health coverage, lunch, commute, and sports
Work-life balance is important at Aircall
Fast-learning environment with entrepreneurial and strong team spirit
45+ nationalities: cosmopolitan and multi-cultural mindset

Bachelor's degree in a technical field such as 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, or TypeScript
Experience designing complex data processing pipelines
Experience with data modeling (star schema, dimensional modeling, etc.) in AWS Redshift
Experience with query optimization
Experience shipping and maintaining code in production
Kafka experience is a plus
Open-minded and willing to share ideas
Flink, Airflow, GitLab, Scala, Python, SQL, AWS Redshift, Kafka
Python (Programming Language)
SQL