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 diverse sectors and industries. Each project has its own technologies, solutions, and deadlines—and you’ll have the opportunity to work on and experience different 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, further consolidating Radix as a **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:** * Implement and optimize data pipelines—both batch and real-time—ensuring quality, reliability, and efficiency. * Integrate data from multiple sources while adhering to governance policies and best practices in data modeling. * Actively participate in the project lifecycle, collaborating with data science, infrastructure, security, and governance teams. * Contribute to the team’s continuous improvement by mentoring peers, optimizing code, and promoting technical standards. * Design data architectures aligned with business needs, focusing on performance and cost optimization. * Demonstrate autonomy in building pipelines and accountability in meeting deadlines—proactively flagging blockers when necessary—always striving for technical growth and excellence in deliverables. **For this role, you must have:** * Advanced English proficiency for conversation. * Technical expertise in data engineering tools and methodologies, enabling you to prepare 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 respective 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 including Hadoop, Spark, columnar databases, or similar. * Intuition about 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, AI, or disciplines requiring strong analytical capability. **Benefits:** * Nationwide Health Insurance (for employee and dependents, including private room) * 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 Assistance for children up to 3 years old (per child) * Mental Health Support via Wellz * Benefits Club offering discounts with various partners * Education and Language Course Partnerships * 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 cooperate closely 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 prioritize well-being and care for our people—offering mental health support programs, access to psychiatrists, and consulting physicians. **Interested?** **\#JoinRadix** **Job Code: ce76