2 months ago
Kyiv, UkraineSenior
Responsibilities
- Design, build, and evolve large-scale data pipelines from raw ingestion to production-ready datasets.
- Develop and maintain Spark and Scala-based data processing workflows for batch and streaming use cases.
- Own data platform reliability, quality, and performance in production environments.
- Collaborate with engineers, product owners, and stakeholders to define and deliver robust data solutions.
- Help shape engineering standards and operational practices as the DataOS team grows.
Requirements
- 5+ years of software engineering experience with strong hands-on Scala and/or Java development.
- Strong Java core fundamentals.
- Proven production experience with Spark and Kafka.
- Experience with the Hadoop ecosystem and distributed data processing platforms such as AWS, GCP, Azure, CDP, or MapR.
- Hands-on AWS experience, especially with S3 and EMR or EMR Serverless; Athena experience is advantageous.
- Experience building and operating cloud-based, high-scale distributed systems.
- Strong analytical and interpersonal skills and the ability to work effectively across engineering and business teams.
- Professional spoken and written English.
- Experience with CI/CD pipelines and tooling is a bonus.
- Experience with Databricks, AWS EMR, GCP Dataproc, Azure Cosmos, CDP, or MapR is a bonus.
- Employee referral is listed as a bonus qualification.
Benefits
- Health insurance.
- Paid unlimited vacation days, national holidays, and additional recharge days.
- Meals reimbursement and sport reimbursement.
- Breakfast in the office.
- Mental health program.
- Paid sick days.
- Team building, happy hours, and other team activities.
- Snacks, fruits, and ice-cold beer.
- New team members receive a brand-new Mac laptop, two monitors, and a starter package.
Tech Stack
Apache HadoopApache HiveApache KafkaApache SparkAWSAzureDatabricksGoogle BigQueryGoogle Cloud PlatformJavaScala
Categories
Data Engineering
About AppsFlyer
AppsFlyer builds a marketing measurement and analytics platform for mobile-first brands and developers, spanning attribution, deep linking, privacy-centric data collaboration, and fraud protection. It sells enterprise SaaS and usage-based tools that help marketers connect spend to outcomes across mobile and connected experiences. Founded in 2011 and privately held, the company is headquartered in San Francisco and processes over 150 billion mobile app events daily for customers worldwide.