Pool de Talentos | Sr Data Modeler
Brazil - Remote
RecargaPay
Pague e cobre tudo com cartão ou Pix. Contas e boletos, recargas de celular, cartão de transporte (Bilhete Único, URBS, VEM, CCR Metrô) e muito mais, com total segurança. Baixe grátis o RecargaPay.Come and impact millions of Brazilians!!
Want to make a difference in the lives of millions of Brazilians? At RecargaPay, we create accessible and innovative financial solutions that transform the way people interact with money. Be part of this impactful and innovative journey, connecting people with opportunities that truly make a difference in their daily lives.
Our purpose is to deliver the best mobile payment experience for Brazilians, addressing real-world challenges with smart solutions like Pix Parcelado, while staying attentive to market trends and our customers' needs. Here, we value collaboration, ownership, and a relentless pursuit of results, delivering excellence in every interaction.
If you’re looking to join a dynamic environment that challenges the status quo and puts people at the center of decision-making, RecargaPay is the perfect place for you to grow, co-create, and make a difference!
Responsibilities
As a Sr Data Modeler, you will play a critical role in the success of a constantly growing and fast-paced company. You will be responsible for designing, developing, and optimizing complex data models that support the company's analytics, reporting, and decision-making processes. In a competitive and data-driven industry, this team drives innovation by ensuring data integrity, scalability, and efficiency, enabling the organization to leverage insights for strategic growth and operational excellence.
- Analyze and organize raw data.
- Build analytical data models.
- Conduct complex data analysis and report on results.
- Evaluate business needs and objectives.
- Interpret trends and patterns.
- Build algorithms and prototypes.
- Combine raw information from different sources.
- Ensure the quality, availability, and traceability of data.
- Explore ways to enhance data quality and reliability.
- Identify opportunities for data acquisition and tuning processes and queries.
- Collaborate with analytics team and data engineers on several projects.
- Examine the data a company stores and study how it affects business operations and profitability.
- Help the company adopt data modeling standards and concepts, including layered data modeling in Databricks.
- Foster a collaborative environment within the team and across departments.
- Demonstrate autonomy and proactivity in identifying and addressing issues.
- Take accountability for delivering high-quality results and meeting project deadlines.
Requirements
- Experience in data management and analytics.
- Previous experience in the financial sector or fintechs.
- Advanced SQL knowledge.
- Knowledge in relational and dimensional database modeling.
- Experience in data governance.
- Great numerical and analytical skills.
- Knowledge of Spark and Databricks.
- Experience with AWS Redshift or other columnar databases is mandatory.
- Degree in Computer Science, IT, or similar field; a Master's is a plus.
- Advanced proficiency in English or Spanish is a plus.
- Strong collaborative skills and the ability to work effectively in a team environment.
- Demonstrated autonomy and proactivity in professional settings.
- Commitment to accountability and delivering high-quality work.
- Knowledge of Qlik Sense (optional).
Benefits
- 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.
Diversity & Inclusion at RecargaPay
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).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Data analysis Databricks Data governance Data management Data quality Qlik Redshift Spark SQL
Perks/benefits: Career development Competitive pay Health care Startup environment
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