Big Data Engineer - ROI360 Squad
Herzliya
Applications have closed
AppsFlyer
Get visibility into performance, scale installs, and maximize LTV with a new standard of measurement and deep linking solutions.AppsFlyer is known for its massive backend production. At any given moment thousands of servers are consuming 100+ billion mobile app events daily, crunching our users’ data, serving requests and communicating on a massive scale. To achieve such scale, our microservice architecture is built with the best and latest cutting edge technologies such as Go, Scala Spark, Kafka, Druid, Aerospike, Redis, BigQuery and many more…
The ROI360 squad is responsible for AppsFlyer’s Cost and Revenue products. We enable both our clients and partners to see cost and revenue data in every product, for every dimension, filter, groupings they choose. We are responsible for pulling, ingesting, processing, storing and exposing cost and revenue data both internally and externally.
What will you do
- Develop end-to-end both client facing and data infrastructure features from data processing to database choice and modeling implementation
- Build real-time, big data, stream processing pipelines using the latest available frameworks and technologies in the market
- 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 will you gain?
Scale. We mean it. Think BIG! More than ~100B incoming events and ~1 petabyte of data daily. You will gain:
- Ability and experience to run systems at scales as well as the reality of hyper growth systems
- Practice and master best technologies available in the market to handle such scale
- Learn best practices in development cycle, Quality assurance of our products before deploy, efficiency of flows and data storage etc
- Work with the most professional people in the data engineering industry
Who do you have?
- 2+ years of experience as a Data Engineer
- Real-life experience with developing and maintaining a large scale big data system using pub-sub, stream processing, modeling data etc
- Deep understanding of Big / Distributed systems concepts like partitioning and sharing data, Task parallelism vs data parallelism, “Share Nothing” architecture, Orchestration vs Choreography etc
- B.Sc. in Computer Sciences or an equivalent.
Bonus Points:
- Being introduced by an AppsFlyer employee
As a global company operating from 20 offices worldwide, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Big Data BigQuery Distributed Systems Engineering Kafka Open Source Pipelines Scala Spark
Perks/benefits: Career development Conferences Salary bonus Team events
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