# Software Engineer

**Company**: AppsFlyer
**Location**: Kyiv
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/appsflyer/jobs/8469417002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d3b85a4b-94a

## Description

The DataOS team at AppsFlyer is building and operating a reliable, high-scale data platform that powers analytics and product capabilities across the company.

We process more than 150 billion events per day and manage petabyte-scale historical data. Our team owns much more than a traditional "data lake" - including schema management, ETL pipelines, and interfaces to and from storage.

If you're excited by scale, ownership, and building production-grade data systems, we'd love to meet you.

## Tech stack highlights

Key technologies include:

- Processing and streaming: Spark, Kafka

- Data lake and formats: S3, Parquet, Delta Lake, Iceberg, Hadoop, Hive

- Cloud and compute: AWS, EMR/EMR Serverless, Athena

- Analytics and data platforms: BigQuery, BigLake, Aerospike, AWS Glue, Databricks Delta Engine

- Languages: Scala, Java, plus a broader polyglot engineering environment across AppsFlyer

## What you'll do:

- Design, build, and evolve large-scale data pipelines from raw ingestion to production-ready datasets.

- Develop and maintain Spark/Scala-based data processing workflows for both 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.

## What You Bring:

- 3+ years of development experience with a passion for excellence

- Experience in JVM languages

- Hands-on background with production systems

- Experience in building APIs for server-client applications

- Strong SQL knowledge

- Ability to grasp new languages, systems, and frameworks quickly

- A team player with the drive to get things done and lead others along the way

- Good communication skills, spoken and written English

- Desire to switch into the Big Data domain and learn its stack.

## Bonus Points:

- Knowledge of Scala is a plus.

- Experience with the Hadoop ecosystem and distributed data processing platforms (AWS EMR, GCP Dataproc, Azure Cosmos, CDP, MapR, Databricks, or similar).

- Hands-on AWS experience, especially with S3 and EMR/EMR Serverless.

- Experience with CI/CD pipelines and tooling.

- Experience with the Hadoop ecosystem and distributed data processing platforms (AWS, GCP, Azure, CDP, MapR, or similar).

- Experience building and operating cloud-based, high-scale distributed systems.

- Referred by an AppsFlyer employee.

## Benefits:

- Health Insurance

- Paid Unlimited Vacation Days + all national holidays + additional recharge days

- Meals Reimbursement

- Sport Reimbursement

- Breakfast in the office

- Mental health program

- Team building, happy hours, and other team activities

- Paid sick days

- Snacks, fruits & ice cold beer

- All new team members are provided with a brand-new Mac laptop with 2 monitors and a Starter package

## Skills

### Required
- Spark
- Kafka
- Scala
- Java
- SQL
- JVM languages
- API building
- production systems

### Nice to have
- Hadoop ecosystem
- AWS EMR
- GCP Dataproc
- Azure Cosmos
- CDP
- MapR
- Databricks
- CI/CD pipelines
- cloud-based distributed systems

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/appsflyer/jobs/8469417002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)