Data Engineer – Billing Platform

Role Overview

Join our usage metering & billing platform team as a Data Engineer with a strong background in writing ETLs and complicated data processing pipelines. You’ll work with massive volumes of data using cutting-edge technologies like Kafka, BigQuery, Airflow, and Spark.

What You Will Do

Develop end-to-end ETLs and data infrastructure features, improve scalability and performance of existing data pipelines, and mentor within the Biz Data & Dev group.

Why It Might Be a Fit

You’ll have the opportunity to work collaboratively with various teams, continuously learn new technologies, and take ownership of your work.

Requirements

• 3-5 years of experience in data engineering in Big Data environments
• 2+ years of experience with Spark and its ecosystem
• Experience using JVM stack, build tools, and environment
• Experience with public cloud environments (AWS will be a bonus)
• High proficiency with Python and at least one JVM-based language (Scala, Java, or Kotlin)
• Proficiency with SQL and experience with ETL and data modeling and development

Benefits

• Equal opportunities for all employees
• Promotion of diverse talents
• Curiosity, diversity, and innovation encouraged
• Employee Obsessed company culture