Amazon

Data Engineer II, Amazon 1P Credito, Payments

Amazon
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1 month ago
São Paulo, BrazilMid Level

Responsibilities

  • Build and maintain reliable, fresh data pipelines for credit bureau, loan application, KYC/AML, and repayment or collections data.
  • Design and optimize analytical data warehouses and data lakes for credit risk modeling, portfolio monitoring, and delinquency tracking.
  • Build feature engineering pipelines supporting credit scoring, underwriting decisioning, and loan-default early warning systems.
  • Implement data quality and reconciliation frameworks.
  • Develop automated dashboards and reporting infrastructure for lending KPIs.
  • Collaborate with Product, Risk, and Compliance teams to translate ambiguous business problems into data engineering solutions while addressing regulatory constraints.

Requirements

  • Experience as a Data Engineer or in a similar role.
  • Experience with data modeling, data warehousing, and ETL pipeline development.
  • Experience with SQL.
  • Experience with non-relational databases or data stores, including object storage, document or key-value stores, graph databases, or column-family databases.
  • Additional exposure and experience with Machine Learning.
  • Preferred bachelor's degree or foreign equivalent in computer science, engineering, analytics, mathematics, statistics, or information technology, or equivalent qualification.
  • Preferred experience operating highly available, distributed systems for extracting, ingesting, and processing large datasets.
  • Preferred experience with AWS data technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.

Tech Stack

Amazon RedshiftSQL

Categories

Data Engineering
Amazon

About Amazon

10,000+ employees

Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.

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