Senior Data Engineering Professional

Description

The first thing you need to know is that here, you won’t fall into routine. Radix develops solutions for companies across different sectors and industries. Each project has its own technologies, solutions, and deadlines—and you’ll have the opportunity to work on and experience a variety of challenges. In addition to our presence across Brazil—with offices in Rio de Janeiro, São Paulo, and Belo Horizonte—we also have subsidiaries in the United States, reinforcing Radix’s position as an increasingly **global** company. Do you want to be part of this story and turn ideas and dreams into reality? **As a Data Engineering Professional, you will:** * Seek knowledge of best practices, methodologies, and techniques to carry out your tasks. * Meet agreed-upon deadlines with your supervisors—or promptly notify them of any impediments likely to cause delays. * Help optimize your peers’ code. * Adhere to data governance policies throughout the project lifecycle and its maintenance. * Understand, propose, and implement data integrations from disparate sources. * Implement both batch and real-time pipelines. * Independently build data pipelines, supported by validation from more experienced peers. **For this role, you must have:** * Broad expertise in both batch and real-time processes—and their respective technologies. * Experience and proficiency with data lakes, integrating data from SAP, web and mobile applications, various systems, and open/external data portals outside the client’s environment. * Knowledge of programming logic and basic ETL languages such as SQL and Python. * Understanding of various data types (structured and unstructured) and their associated technologies (e.g., Parquet, Avro, relational databases, document-oriented databases, etc.). * Knowledge of algorithms and data structures. **It’s a plus if you have:** * A degree in Computer Science, Engineering, Statistics, Mathematics, Physics, Economics, or related fields. * A Master’s or PhD in Data Engineering, Artificial Intelligence, or disciplines requiring high analytical capability. * Familiarity with data platforms such as Databricks, Snowflake, Cognite, Tableau, Google BigQuery, or similar. * Proficiency in core data engineering technologies such as Hadoop, Spark, columnar databases, or similar. * Intuition about the internal workings of statistical methods used in algorithms. **Benefits:** * Nationwide Health Insurance (for employee and dependents, including private room coverage) * Nationwide Dental Insurance (for employee and dependents) * Flexible Meal/Voucher Allowance * Remote Work Allowance * Birthday Day Off * Wellhub (formerly Gympass) * Extended Maternity Leave (6 months) and Paternity Leave (20 days) * Childcare Support for children up to 3 years old (per child) * Mental Health Support via Wellz * Benefits Club offering discounts with various partners * Partnerships with educational institutions and language courses * Professional Development (Corporate University) * Partnership with coworking spaces across Brazil * Quality of Life and Well-being Program * Consulting Physician for Radixer follow-up * Incentive Plans **Radix consistently ranks among the Best Companies to Work For because:** * We have committed, dedicated, curious, and innovative professionals. * Team spirit is our greatest strength. We work cooperatively and understand that we’re all rowing in the same direction. * We foster a diverse environment that values equity and inclusion. * Our working hours are flexible, and for nearly all projects, you can work from anywhere in Brazil. * We value well-being and care for our people—offering mental health support programs, access to psychiatrists, and consulting physicians. **Interested?** **\#JoinRadix**