Software Engineer

• 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).

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

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

Position number - 2762

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.