Data Engineer, Credit Modeling
Description For Data Engineer, Credit Modeling
PayPay, a leading FinTech company in Japan with over 65M users, is seeking a Data Engineer for their Credit Modeling team. This role offers an exciting opportunity to work at the intersection of big data and financial technology, designing and implementing critical data pipelines and models. The position combines technical expertise in data engineering with business impact, requiring skills in languages like Python, Java, and SQL, along with experience in big data technologies and machine learning.
The role offers significant autonomy and growth potential, with responsibilities spanning from ETL process optimization to machine learning workflow implementation. Working in a diverse team with members from over 50 countries, you'll contribute to PayPay's mission of creating innovative financial solutions. The company provides a flexible work environment with their "Work From Anywhere at Anytime" policy, comprehensive benefits including visa sponsorship, and competitive compensation.
This is an ideal opportunity for a mid-level data engineer with 3+ years of experience who wants to make an impact in the FinTech sector. The position offers exposure to cutting-edge technologies and the chance to work on large-scale data systems supporting millions of users. PayPay's culture emphasizes continuous learning and innovation, making it perfect for someone who thrives in a fast-paced, challenging environment.
Responsibilities For Data Engineer, Credit Modeling
- Design, build, and maintain distributed batch and real-time data pipelines and data models
- Facilitate real-life actionable use cases leveraging data with user and product-oriented mindset
- Work across engineering specialties including Data Science and Machine Learning
- Support teams with building decentralized data solutions and product integrations
- Enforce privacy and security standards by design
Requirements For Data Engineer, Credit Modeling
- 3+ years experience building complex data pipelines
- Experience in Java, Scala, Python and SQL
- Experience with BigQuery, Spark, AWS Redshift, Kafka, or Kinesis streaming
- Experience creating and maintaining ETL processes
- Experience designing and operating DataLake or Data Warehouse
- Experience with DBMS and SQL tuning
- Strong fundamentals in big data and machine learning
Benefits For Data Engineer, Credit Modeling
- Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
- 401K
- Translation/Interpretation support
- VISA sponsor + Relocation support
- Super Flex Time with no core hours
- Annual leave up to 14 days in first year
- Personal leave 5 days each year
- Special Incentive once a year
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