AppsFlyer
Analytics
BackendEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Backend Engineer at AppsFlyer. Skills: data engineering, microservices, production management. Develop end-to-end features. Develop client-facing features”
What You'll Achieve.
be the best analytics suite in our business market
Industry & Context.
What They're Looking For.
Must Have
3+ years of development experience, Experience in data engineering, Apache, Scala-Spark, py-spark, high throughput, low latency, mission-critical distributed systems, Great communication skills in English, B. Sc. in Computer Sciences or an equivalent
Nice to Have
Experience with large-scale production databases, Airflow server-side skills, production grade BigQuery ETL and DBs, production grade GO BE services, production grade Clojure BE services, An “AI mindset”, Cursor, GitHub Copilot
What You'll Do.
Develop end-to-end features
Develop client-facing features
Develop data infrastructure features
Implement data processing
Implement database choice
Analyze system performance
Improve system performance
Analyze system scalability
Improve system scalability
Analyze system stability
Improve system stability
Analyze environment performance
Improve environment performance
Analyze environment scalability
Improve environment scalability
Analyze environment stability
Improve environment stability
Analyze tool performance
Improve tool performance
Analyze tool scalability
Improve tool scalability
Analyze tool stability
Improve tool stability
Contribute to open source
Release open source software
How You'll Work.
Team & Collaboration
Collaborate with product managers; Collaborate with software engineers
Communication Scope
Great communication skills in English
Full Job Description
AppsFlyer is known for its massive backend production. At any given moment thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests and communicating on a massive scale. To maintain the universe we call AppsFlyer, we practice modern production operations with a complete self-serve CI/CD platform, a highly integrated observability stack for our micro-services, backends, and infrastructure, a culture of ownership and eagerness for quality. The Analytics group is responsible for showing our clients the stories their data is telling. Through complex aggregation, mission tailored analytical databases and carefully crafted APIs we are able to provide slice and dice analysis in our beautiful dashboards and through the use of external integrations. Our group mixes disciplines from back-end, data, AI and front-end engineers and we’re looking for great Data-Oriented Backend Engineer developers that are passionate about what they do, who want to dive into the worlds of big data, microservices and production management at our scale, to help us reach our vision and goal: to be the best analytics suite in our business market. What you'll do Develop end-to-end, both client-facing and data infrastructure features, from data processing to database choice and modeling implementation Collaborate with product managers and software engineers to deliver complex products. Analyze and improve performance, scalability and stability of our systems, environments and tools. If you're up to the challenge - Speak at meetups, write blog posts, speak at conferences, contribute to existing open source projects and release new open source software. What you have 3+ years of development experience with a passion for excellence Experience in data engineering with a focus on Apache and Scala-Spark / py-spark) Experience with high throughput, low latency, mission-critical distributed systems Great communication skills in English B.Sc. in Computer Sci
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