Data Engineer Specialist

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.

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RecargaPay is the Super App that simplifies everyday payments for consumers and SMEs in Brazil.

The platform streamlines payments for over 7 million Brazilians by consolidating credit and debit cards, instant payments like Pix, and Open Finance, on a mission to democratize mobile payments and financial services in Brazil.

Featuring services such as bill payments, mobile top-ups, public transportation, installment plans, and loans, designed with convenience, low cost and flexibility in mind. RecargaPay is changing the way both banked and unbanked Brazilians make their everyday payments and access their financial services.

Responsibilities

Data Intengration and Quality

  • Integrate data from various sources
  • Enhance data quality, reliability, availability, and traceability

Business and Process Evaluation

  • Evaluate business needs and objectives
  • Identify opportunities for data acquisition
  • Optimize processes and queries

Collaboration and Standards:

  • Collaborate with analytics teams and data engineers on multiple projects
  • Promote and adopt data modeling standards and concepts
  • Assess and leverage stored data to improve business operations and profitabilty

Data Replication and Event Handling

  • Implement real-time or near-real-time data replication.
  • Manage and process event data to ensure timely and accurate data updates

Requirements

Experience

    • At least 5 years of experience as a Data Engineer or in a similar role.

Technicall Skills

    • Advanced SQL knowledge.
    • Advanced knowledge in Python and Spark.
    • Advanced knowledge in database systems, both SQL and NoSQL.
    • Knowledge in relational and dimensional database modeling.
    • Best practices in Data Lake or similar architectures.
    • Experience with data replication in real-time or near-real-time environments.
    • Handling and processing event data.
    • Preferably experience with AWS Redshift and Databricks.

Additional Skills

    • Experience in data governance.
    • Great mathematical and analytical skills.

Language Skills

    • Advanced proficiency in English or Spanish is a plus.

Benefits

  • Medical and Dental assistance without co-participation;
  • Life insurance;
  • Flexible Meal voucher - Flash;
  • TotalPass;
  • Home office assistance - monthly deposit in the RecargaPay app for personal use;
  • Spanish classes;
  • Educational partnerships;
  • Discount in Universities for Undergraduate, Graduate and MBA courses;
  • Anywhere office - work from wherever you want.

Diversity & Inclusion at RecargaPay
Diversity is part of our DNA and we are in constant search for representativeness and evolution. We believe that our employees should be who they are, and that is what makes them unique in their roles - regardless of gender, religion, disabilities, LGBTQI+, ethnicity, generations and different experiences. And we are looking for people who are authentic and free to co-create a more inclusive and innovative company and society. Does it sound like you?

About the use of your Data

The candidate, when sending a resume with personal and professional data to participate in the RecargaPay recruitment and selection process, is aware that the data will be used for the necessary analyzes and validations throughout the recruitment process and for hiring, if necessary, as well how you authorize RecargaPay to share curriculum data with other companies in the RecargaPay group if opportunities arise according to the candidate's profile.

In compliance with Law 13.709 / 18, LGPD - General Data Protection Law, the candidate may request the update, rectification and modification of their information during the recruitment and selection process, or, even, request the non-use of data under the terms the terms of applicable law.

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Category: Engineering Jobs

Tags: Architecture AWS Databricks Data governance Data quality Finance NoSQL Python Redshift Spark SQL

Regions: Remote/Anywhere South America
Country: Brazil

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