Data Engineer (Billing Platform)

TL;DR

Data Engineer (Billing Platform): Developing end-to-end ETL pipelines and data infrastructure for a high-volume usage metering and billing platform with an accent on scalability and performance. Focus on designing data processing logic, optimizing Spark pipelines, and integrating diverse data stores to handle 10X growth.

Location: Herzliya, Israel

Company

A global data-driven company providing mobile attribution and marketing analytics tools to help customers make informed business decisions.

What you will do

• Develop end-to-end ETLs and data infrastructure, from processing logic and database implementation to API development.
• Improve the scalability and performance of existing big data pipelines to support rapid growth.
• Analyze existing pipelines and business logic to target weaknesses and implement new functionality.
• Collaborate with the Biz Data & Dev group and other cross-functional business teams.
• Continuously research and integrate new technologies to ensure optimal technical choices.

Requirements

• 3-5 years of experience in data engineering within Big Data environments.
• 2+ years of professional experience with Spark and its ecosystem.
• High proficiency in Python and at least one JVM-based language (Scala, Java, or Kotlin).
• Experience with public cloud environments (AWS), Hadoop, and SQL/NoSQL databases.
• Strong expertise in ETL development and data modeling.

Culture & Benefits

• Diverse and multicultural environment with a presence in 20 offices worldwide.
• Inclusive culture promoting equal opportunities regardless of background, gender, or orientation.
• Emphasis on curiosity, innovation, and a growth mindset.
• "Employee Obsessed" culture focused on providing the best tools and resources for the team.