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 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? ### **About the Role** We are seeking a highly qualified Data Engineer to design, develop, and optimize scalable data solutions supporting analytics initiatives, reporting, and business intelligence. In this role, you will be responsible for building robust data pipelines, designing enterprise data models, and implementing modern data warehouse solutions using the Snowflake platform. The ideal candidate possesses solid experience with Snowflake, SQL, data integration via APIs, and enterprise data architecture, with a strong focus on data quality, automation, performance, and governance. **As a Data Engineering Professional, you will:** * Design, develop, and maintain scalable data solutions using the Snowflake Data Cloud platform. * Design and administer databases, schemas, tables, stages, warehouses, and security objects in Snowflake. * Develop and optimize high-performance SQL queries, transformations, and data pipelines. * Design and implement modern Medallion architecture patterns, including Raw/Bronze, Curated/Silver, and Business/Gold layers. * Develop automated pipelines for ingesting structured and semi-structured data, including JSON data from REST APIs and SaaS platforms. * Implement data loading processes using Snowflake features such as COPY INTO, Snowpipe, Streams, and Tasks. * Develop and maintain stored procedures, user-defined functions (UDFs), views, and other database objects to support reusable business logic. * Design and maintain canonical, platform-agnostic data models consolidating information from multiple source systems. * Create and maintain source-to-target mappings, transformation rules, and data harmonization processes. * Design dimensional models—including Star Schema—to support reporting and analysis. * Develop incremental loading strategies, Change Data Capture (CDC) processes, and automated data validation frameworks. * Ensure data quality, consistency, integrity, and reliability across the entire platform. * Implement and maintain data governance standards, metadata management practices, and role-based access control (RBAC) in Snowflake. * Optimize database performance, warehouse utilization, and query execution to maximize efficiency and minimize costs. * Collaborate with data architects, analysts, software engineers, and business stakeholders to deliver scalable data solutions. * Support deployment processes using CI/CD and manage database code through Git-based version control. **For this role, you must have:** * Advanced English proficiency for conversation. * Technical expertise in data engineering tools and methodologies, capable of preparing data for predictive and prescriptive analytics. * Knowledge of programming logic and basic ETL languages such as SQL and Python. * Familiarity with various data types (structured and unstructured) and their associated technologies (e.g., Parquet, Avro, relational databases, document databases, etc.). * Knowledge of algorithms and data structures. * Experience 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 regarding the internal workings of statistical methods used in algorithms. * Knowledge of distributed systems and related technologies. **Nice-to-have qualifications:** * Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Physics, Economics, or related fields. * Master’s or PhD in Data Science, Artificial Intelligence, or disciplines requiring high analytical capability. **Benefits:** * Nationwide medical assistance (for employee and dependents, including private room) * Nationwide dental assistance (for employee and dependents) * Flexible meal/food allowance * Remote work allowance * Birthday day off * Wellhub (formerly Gympass) * Extended maternity leave (6 months) and paternity leave (20 days) * Childcare allowance 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 * 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 know we’re all together, 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, it’s possible to 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?** **\#VemPraRadix** **Job Code: ebbf