PayPay Corporation
PayPay, a fintech company, that achieved more than 50M users within around 3 years since its launch in 2018 has hugely diversified employees who are from 40 different countries. The number of employees by now is more than 1,000 staff members, and yet the company is still incomplete and at a growing stage.
1001 - 5000 employees
Data Engineer - DaaS
March 15
PayPay Corporation
PayPay, a fintech company, that achieved more than 50M users within around 3 years since its launch in 2018 has hugely diversified employees who are from 40 different countries. The number of employees by now is more than 1,000 staff members, and yet the company is still incomplete and at a growing stage.
1001 - 5000 employees
📋 Description
• PayPay's growth is driving a rapid expansion of PayPay product teams and the need for a robust Data Engineering Platform to support our growing business needs is more critical than ever. • The DaaS team’s responsibility is to design, implement, and operate this platform using cutting edge technologies such as Spark, Databricks, Delta Lake, PySpark, Scala, and AWS suite of tools. • We are looking for talented Data Engineers to join our team and help us scale our platform across the organizations.
🎯 Requirements
• 5+ years experience as a Data Engineer or in a similar role • Hands-on experience with Databricks, Delta Lake, Spark, and Scala • Experience designing, building, and operating a DataLake or Data Warehouse • Knowledge of Data Orchestration tools such as Airflow, Dagster, Prefect • Familiarity with change data capture tools like Canal, Debezium, and Maxwell • Experience in at least one primary language (e.g. Scala, Python) and SQL (any variant) • Experience with data cataloging and metadata management using AWS Glue Data Catalog, Lakeformation, or Unity Catalog • Proficiency in Terraform for infrastructure as code (IaC) • Strong problem-solving and debugging skills to troubleshoot complex data issues • Excellent communication and collaboration skills • Able to make sound decisions and learn quickly while factoring in complex technical contexts
🏖️ Benefits
• Social Insurance (health insurance, employee pension, employment insurance and compensation insurance) • 401K • Translation/Interpretation support • VISA sponsor + Relocation support
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