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Data Platform Engineer at Appcharge
Tel-Aviv, Tel-Aviv District, Israel -
Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

0.0

Posted On

18 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Platform Engineering, Apache Spark, Apache Kafka, Scala, Java, Python, Infrastructure as Code, Apache Airflow, BigQuery, Google Cloud

Industry

Mobile Gaming Apps

Description
Appcharge is a leading direct-to-consumer platform for app publishers. We help publishers sell digital goods directly to their users - bypassing traditional app store commissions and owning the full payment and commerce experience. The result: higher margins, better flexibility, and a more direct relationship with end users. Backed by $89M from leading investors and operators, we’ve grown 14x in the past year and now process over half a billion dollars annually. We’re building the infrastructure that lets modern app businesses take back control of monetization – at scale. As a Data Platform Engineer, you will be responsible for building high-performance streaming pipelines and managing the scalable cloud infrastructure that powers our entire data ecosystem. Responsibilities: Design and develop low-latency data pipelines using Spark Structured Streaming and Kafka. Automate and manage data infrastructure on GCP using Terraform. Architect, build and maintain our Data Lakehouse using Apache Iceberg, Parquet, and GCS. Implement robust data pipelines processes and data products using Apache Spark and Airflow. Implement monitoring, logging, and alerting to ensure data platform reliability and performance. Requirements 5+ years as a Data Platform Engineer High proficiency with Apache Spark and Apache Kafka Experience with Scala / Java / Python Experience with Infrastructure as a Code Experience with Apache Airflow Familiar with BigQuery and Google Cloud - Advantage
Responsibilities
As a Data Platform Engineer, you will design and develop low-latency data pipelines and manage the scalable cloud infrastructure for the data ecosystem. You will also implement monitoring and alerting to ensure platform reliability and performance.