The first thing you need to know is that here, you won’t fall into routine. Radix develops solutions for companies across various sectors and industries. Each project has its own technologies, solutions, and deadlines, giving you the opportunity to work on and experience diverse 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 Science Professional, you will:** * Serve as the technical reference in Data Foundation projects, supporting the definition of strategies for data ingestion, organization, and availability. * Technically lead initiatives for ingesting data from diverse sources such as ERPs, corporate systems, APIs, industrial historians, sensors, and cloud platforms. * Design, implement, and evolve data pipelines, ensuring reliability, scalability, observability, and data quality. * Define and implement data models that support analytical solutions, digital applications, and Artificial Intelligence initiatives. * Structure and evolve data layers (Raw, Trusted, Curated or equivalents), ensuring standardization and data governance. * Develop data transformation, enrichment, and delivery processes, ensuring consistency and alignment with business needs. * Implement mechanisms for data validation, monitoring, and quality assurance—identifying inconsistencies and proposing continuous improvements. * Collaborate with Software Engineering, Analytics, Artificial Intelligence, and functional consulting teams to deliver reliable data for digital products and solutions. * Guide junior and mid-level professionals, promoting best practices related to data engineering, modeling, documentation, and pipeline development. * Produce technical documentation, standards, and best practices for data integration, modeling, and governance. * Identify opportunities to improve data architectures, proposing solutions that enhance platform efficiency, reusability, and scalability. * Work consultatively with clients and stakeholders—understanding business needs and translating them into data solutions. **For this position, you must have:** --------------------------------- * Advanced English proficiency for conversation. * Experience in data analysis, modeling, and transformation. * Proficiency in SQL and handling large volumes of data. * Experience with ETL/ELT and data integration. * Experience in Data Profiling, Data Cleansing, and Data Quality. * Experience in data mapping (Source-to-Target Mapping). * Knowledge of relational data modeling and Enterprise Data Models. * Knowledge of Data Governance and Master Data Management. * Experience using Python for data manipulation and transformation. * Experience with cloud environments (Azure, AWS, or GCP). * Familiarity with REST APIs and system integration. * Experience working with agile methodologies. * Analytical ability to understand business rules and translate them into data models. * Strong communication skills for interacting with technical teams and business areas. **It’s a plus if you have:** ----------------------------------- * Experience with Cognite Data Fusion (CDF). * Experience with Azure Data Factory, Databricks, or Synapse. * Knowledge of Data Lake, Lakehouse, or Data Platform. * Experience in Data Foundation or Enterprise Data Platform projects. * Knowledge of Data Catalog, Data Lineage, and Data Stewardship. * Experience in industrial environments, Smart Factory, or Industry 4.0. * Bachelor’s degree in Computer Science, Engineering, Information Systems, Statistics, or related fields. * Certifications in Azure Data or other data platforms. **Benefits:** * National Health Insurance (for employee and dependents, including private room) * National Dental Insurance (for employee and dependents) * Flexible Meal/Voucher Allowance * Remote Work Allowance * Birthday Day Off (in the month of your birthday) * Wellhub (formerly Gympass) * Extended Maternity Leave (6 months) and Paternity Leave (20 days) * Daycare Assistance for children up to 3 years old (per child) * Mental health support through 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 Radix employees’ 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 cooperate closely and know we’re all rowing in the same direction. * We foster a diverse environment that values equity and inclusion. * Our working hours are flexible, and in 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** **Job Code: 5f79**
João Silva
Indeed · HR
João Silva
Indeed · HR
