Data Engineer developing innovative data driven solutions to simplify organization and enhance customer value. Leading design and delivery of scalable data architectures and pipelines for business success.
About the role
- Senior Data Engineer managing analytics and event platform stack at Aircall. Building features for over 22,000 customers and unlocking the value of data.
Responsibilities
- 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.
Requirements
- 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
Benefits
- Competitive salary package & benefits (health coverage, lunch, commute, sports)
Job title
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Degree requirement
Tech skills
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