Description:

Seeking a data-driven AI Engineer for a high-growth advertising technology company.
Focus on scaling reporting infrastructure for advertising performance and billing reconciliation.
Responsible for developing robust data pipelines and ensuring data quality and reliability.
Collaborate with cross-functional teams to deliver high-impact data platforms.

Requirements:

Proficiency with AWS data and serverless services (Glue, Lambda, S3, DynamoDB, Step Functions, QuickSight).
Strong Python development skills.
Experience with infrastructure-as-code (AWS CDK, CloudFormation, Terraform).
Unit testing and CI/CD pipeline experience (GitHub Actions or equivalent).
SQL Server experience and ETL processes for legacy solutions.
Knowledge of APIs, SDLC, testing, deployment, and version-control best practices.
Experience with secure handling of sensitive financial data and PII.
Proficiency in data validation and cleansing practices.
Experience with project management tools (e.g., Jira).
Highly preferred: experience in insurance/financial services, AWS certification, core banking systems, familiarity with policy-administration platforms.

Competitive monetary compensation and year-end bonus.
Major medical expenses insurance, life insurance, and funeral expenses coverage.
Health check-up subsidy and preferential rates for car insurance.
Paid vacations, official Mexican holidays, and various leave policies.
English classes, certifications, and educational agreements.
Corporate agreements & discounts, birthday bonus, and work-from-home bonus.
Laptop policy.

Skills

Benefits