Data Engineer II, Amazon 1P Credito, Payments

Amazon is hiring a Data Engineer II, Amazon 1P Credito, Payments in São Paulo, Brazil. Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
Tools and skills the posting cites include Redshift, S3 and SQL.
Level classifies it as a mid-level role.
Level lists 21,000+ other open roles at Amazon.

AI in this role

Data engineer to build data pipelines and analytical infrastructure for credit risk monitoring and payments in Brazil.

redshifts3sqlpython

data-engineeringetldata-warehousingpipeline-development

Do you feel the challenge and the adrenaline kick when a huge data-set stares you in the face and you know that somewhere inside are hidden very important business insights that can fundamentally alter the way top business leaders think and act? Do you enjoy presenting strong data backed insights to business leaders; insights that can topple their long held beliefs and compel them to change their direction completely? If yes, then you are the one we are looking for.
We are looking to invite passionate leaders, with expertise in generate power business insights from very large datasets, on a journey where the primary aim would be to enable needle moving business impacts through statistical analysis. We are looking for leaders who can envision the design and development of analytical infrastructure which can support strategic and tactical decision-making. Those who join this high visibility team would have to navigate through significant ambiguity in defining business problems and converting them to analytical problems.
This role requires additional exposure and experience to Machine Learning.

Key job responsibilities
- Build and maintain data pipelines to ingest and process data from credit bureaus (e.g., Boa Vista, Experian), loan application systems, KYC/AML sources, and repayment/collections platforms, ensuring data freshness and reliability
- Design and optimize the analytical data warehouse (e.g., Redshift, S3-based data lake) to support credit risk modeling, portfolio monitoring, and delinquency tracking (DPD/NPA metrics) at scale
- Support Data Science and Risk teams by building feature engineering pipelines for credit scoring models, underwriting decisioning, and early warning systems for loan defaults
- Implement data quality and reconciliation frameworks
- Develop automated dashboards and reporting infrastructure to surface key lending KPIs — disbursement volumes, approval rates, portfolio-at-risk, collection efficiency — enabling leadership to make data-driven strategic decisions
- Collaborate across Product, Risk, and Compliance teams to translate ambiguous business problems into well-defined data engineering solutions, navigating regulatory constraints around PII handling, data residency, and audit readiness

About the team
Brazil Payments is part of the International Emerging Stores Payments team and focuses on supporting the launch of new payment and financial products to our customers in Brazil.

Basic qualifications

- Experience as a Data Engineer or in a similar role
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Preferred qualifications

- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Bachelor's degree or foreign equivalent in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Data Engineer II, Amazon 1P Credito, Payments at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineer II, Amazon 1P Credito, Payments is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in BR, SP, Sao Paulo.
The job was posted on October 6, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringETLData WarehousingPipeline DevelopmentRedshiftS3SQLPython

Also common in data engineer jobs at this level

Python Spark Azure Airflow Databricks Google Cloud

Pay

Typical data engineer job: $150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data warehousing was part of your work. What did you do?
Tell me about a project where pipeline development was part of your work. What did you do?
Walk me through how you've used Redshift in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Engineering, ETL, Data Warehousing, Pipeline Development, and Redshift. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review Get an express CV review Check your resume with the ATS resume checker