Senior Data Engineer - Real time analytics
AircallCloud Communications company
London, United KingdomSenior
Goldman Sachs Growth Equity
DTCP
eFounders
Draper Esprit
Adams Street Partners
NextWorld Capital
Data & AI
About the role
TL;DR
Build real-time data solutions for Aircall's global customer base.
- •Join Aircall's Analytics & Data Platform team to build features for over 22,000 customers globally.
- •Your work will unlock the value of data, empowering customers to make informed decisions.
- •Key Responsibilities Design and deliver scalable, low-latency streaming platform solutions for real-time data.
- •Analyze and translate business needs into data models and optimize for big data.
- •Optimize slow queries for better performance.
- •Write clean, scalable code using Scala, Python, or SQL.
- •Solve challenging data problems in near real-time using optimal data architectures.
- •Requirements 3+ years experience with near real-time analytics. 5+ years experience with Scala, Python, or Go.
- •Experience with complex data processing pipelines.
- •Experience with data modeling in AWS Redshift.
- •Experience with query optimization.
Required skills
ScalaPythonSQLApache FlinkAirflowAWS
Tech stack
AWSApache FlinkAirflowSQLScalaPythonGitLab CI