Senior Data-Oriented Backend Engineer at AppsFlyer

Kyiv, , Ukraine -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Apache, Scala-Spark, Large-scale Production Databases, High Throughput, Low Latency, Distributed Systems, Server-side Skills, BigQuery ETL, Airflow, GO BE Services, Clojure BE Services, AI Mindset, Communication Skills, Microservices, Production Management

Industry

technology;Information and Internet

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, 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: 5+ years of development experience with a passion for excellence Experience in data engineering with a focus on Apache and Scala-Spark. Experience with large-scale production databases Experience with high throughput, low latency, mission-critical distributed systems Great communication skills in English B.Sc. in Computer Sciences or an equivalent. Bonus points: Strong server-side skills. Experience production grade BigQuery ETL and DBs. Experience with Airflow Experience with production grade GO BE services. Experience with production grade Clojure BE services. An “AI mindset”: stays up to date with the AI landscape, explores tools like Cursor or GitHub Copilot, and looks for ways to boost productivity through AI Recommended by an AppsFlyer employee We offer: Paid Unlimited Vacation Days + all national holidays Health Insurance, Paid Sick Days Sports & Meals reimbursement Breakfast, snacks, fruits & cold drinks in the office Parking reimbursement Team building, happy hours, and company-wide events Brand new Mac laptop, dual monitors, and starter package As a global company operating from 25 offices across 19 countries, 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. “As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO

Responsibilities

Develop end-to-end client-facing and data infrastructure features, collaborating with product managers and software engineers. Analyze and improve the performance, scalability, and stability of systems, environments, and tools.