Senior Data Engineer - Real time analytics

Your role at Aircall

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.

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

A little more about you:

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