Analytics Engineer Specialist
4 semanas atrás
1 week ago Be among the first 25 applicants
Come Make an Impact on Millions of Brazilians
At RecargaPay, we're on a mission to deliver the best payment experience for Brazilian consumers and small businesses — by building a powerful digital ecosystem where the banked and unbanked connect, and where consumers and merchants have a one-stop shop for all their financial needs.
We serve over 10 million users and process more than USD 4 billion annually. We've been profitable since 2022 and operate our own credit business. We are an AI-first, 100% remote team, scaling in the rapidly changing Brazilian financial market.
Our goal? Deliver the best payment experience in Brazil for people and small businesses alike.
We value autonomy, ownership, and a bias for action. We're looking for people who are curious, hands-on, and driven by impact — who want to solve real problems, work with strong teams, and rethink what's possible.
If you're ready to do your best work, at scale, with purpose — this is your place.
Requirements
Responsibilities
- Collaborate with other Analytics Engineers, actively sharing frameworks, best practices, and reusable components within the analytics chapter
- Lead methodological definitions for KPIs, metric standardization, and modeling conventions across the organization
- Design cross-domain analytical solutions that are interoperable and scalable beyond individual products or squads
- Contribute to strategic decisions regarding the evolution of the analytical platform, including naming conventions, data catalog structure, semantic layers, and observability tooling
- Represent the Analytics Engineering discipline in data governance, data quality, and data architecture committees, contributing to implement enterprise-level standards and guidelines
- Strong experience with SQL for analytical development and scalable data processing
- Hands-on experience with Databricks, including the development of business-oriented data marts and analytical models (desirable). Familiarity with PySpark
- Proficiency in data visualization tools, especially Qlik Sense and Tableau (On-Premises and Cloud)
- Experience managing and monitoring Qlik Sense On-Premises environments
- Knowledge of Qlik Sense mashups, ODAG, and Qlik Sense extensions
- Proven ability to design and build analytical dashboards and reusable data assets aligned with business logic and performance standards
- Familiarity with GitHub, and collaborative documentation tools (e.g., Confluence, Notion, Markdown-based wikis)
- Ability to translate business requirements into governed, maintainable, and scalable analytical solutions
- Hands-on experience with Python automation is a plus
- Knowledge of AI agents is a strong plus
- Competitive and market-aligned salary
- Remote work — wherever you are, you're part of the team
- Home office allowance through a monthly deposit in the RecargaPay app
- Health and dental plans with no co-pay
- Life insurance
- Flexible meal allowance (via Flash)
- TotalPass membership to take care of your health
- Spanish or Portuguese classes
At RecargaPay, you'll have the freedom to be who you are because we believe that diverse perspectives and experiences make us more creative and stronger. Here, everyone is welcome to express themselves authentically. We value the richness of each journey and the multiple ways of seeing the world, without distinctions of gender, race, sexual orientation, age, religion, or any other characteristic that makes us unique.
About The Use Of Your Data
By sharing your resume with us, you authorize the use of your data for analysis during the selection process and possibly for other opportunities within the RecargaPay group. You can request the update or deletion of your information at any time, in accordance with LGPD (General Data Protection Law). Seniority level
- Seniority level Entry level
- Employment type Full-time
- Job function Other
- Industries IT Services and IT Consulting
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