Senior Software Engineer
EngRadar
EngRadar / AppsFlyer
Senior Software Engineer
AppsFlyer
AppsFlyer is an attribution authority helping mobile and high-tech companies demonstrate value to their bottom line.
AppsFlyer is the employer — EngRadar is a job radar, not a recruiter. We track this posting from their own careers page and send you straight there; we never handle applications or CVs.
Kyiv Posted today mobileattributionadtech
Apply directly →
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
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.
Posted by AppsFlyer on their own careers page — you apply directly, no recruiter in between. View original / apply →
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Senior Software Engineer
AppsFlyer
AppsFlyer is an attribution authority helping mobile and high-tech companies demonstrate value to their bottom line.
AppsFlyer is the employer — EngRadar is a job radar, not a recruiter. We track this posting from their own careers page and send you straight there; we never handle applications or CVs.
Kyiv Posted today mobileattributionadtech
Apply directly →
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
- 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.
- 5+ years of software engineering experience, with strong hands-on Scala and/or Java development.
- Strong Java core fundamentals
- Proven experience with Spark and Kafka in production environments.
- 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 (Athena is a strong advantage).
- Experience building and operating cloud-based, high-scale distributed systems.
- Strong analytical and interpersonal skills, with the ability to work effectively across engineering and business teams.
- Professional spoken and written English.
- 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.
- 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
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.
Posted by AppsFlyer on their own careers page — you apply directly, no recruiter in between. View original / apply →
More at AppsFlyer
A
Account Executive
AppsFlyer
- AppsFlyer is an attribution authority helping mobile and high-te…
21d ago
A
Account Receivable Specialist
AppsFlyer
- AppsFlyer is an attribution authority helping mobile and high-te…
1mo ago
A
Application Security Engineer
AppsFlyer
- AppsFlyer is an attribution authority helping mobile and high-te…
7mo ago
A
Backend Engineer
AppsFlyer
- AppsFlyer is an attribution authority helping mobile and high-te…
3mo ago
Apply directly → Browse Full-Stack Jobs
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