Remote Data Engineer

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PayPay Corporation

πŸ“Remote - Worldwide

Job highlights

Summary

The job is for a Data Engineer at PayPay, a FinTech company. The role involves designing, building, and maintaining data pipelines, facilitating real-life use cases, working across various engineering specialties, enforcing privacy and security standards, and improving ETL processes.

Requirements

  • +3 years experience building complex data pipelines and working with both technical and business stakeholders
  • Experience in at least one primary language (e.g., Java, Scala, Python) and SQL (any variant)
  • Experience with technologies like BigQuery, Spark, AWS Redshift, Kafka, or Kinesis streaming
  • Experience creating and maintaining ETL processes
  • Experience designing, building, and operating a DataLake or Data Warehouse
  • Experience with DBMS and SQL tuning
  • Strong fundamentals in big data and machine learning

Responsibilities

  • Design, build, and maintain distributed batch and real-time data pipelines and data models
  • Facilitate real-life actionable use cases leveraging our data with a user- and product-oriented mindset
  • Support teams without data engineers with building decentralized data solutions and product integrations, for example around DynamoDB
  • Enforce privacy and security standards by design
  • Conceptualize, design and implement improvements to ETL processes and data through independent communication with data-savvy stakeholders

Preferred Qualifications

  • Experience with RESTful APIs, Pub/Sub Systems, or Database Clients
  • Experience with analytics and defining metrics
  • Experience with measuring data quality
  • Experience productionalizing a machine learning workflow; MLOps
  • Experience in one or more machine learning frameworks, including but not limited to scikit-learn, Tensorflow, PyTorch and H2O
  • Language ability in Japanese and English is a plus (We have a professional translator but it is nice to have language skills)
  • Experience with AWS services
  • Experience with microservices
  • Knowledge of Data Security and Privacy

Benefits

  • Employment Status: Full Time
  • Office Location: WFA(Work From Anywhere at Anytime) / Remote Job
  • Work Hours: Super Flex Time (No Core Time), In principle, 10:00am-6:45pm (actual working hours: 7h45m + 1h break)
  • Holidays: Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days
  • Paid leave. - Annual leave (up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire) - Personal leave (5 days each year, granted proportionally according to the month of employment)
  • Salary: Annual salary paid in 12 installments (monthly), Based on skills, experience, and abilities, Reviewed once a year, Special Incentive once a year *Based on company performance and individual contribution and evaluation, Late overtime allowance, Work from anywhere allowance (JPY100,000)
  • Benefits: Social Insurance (health insurance, employee pension, employment insurance and compensation insurance), 401K, Language Learning support, Translation/Interpretation support, VISA sponsor + Relocation support

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