Senior Data Engineering Professional

Description

The first thing you need to know is that here you will not fall into routine. Radix develops solutions for companies in different sectors and industries. Each project has its technologies, solutions and deadlines and you will have the opportunity to act and experience different challenges. In addition to our operations in Brazil, with offices in Rio de Janeiro, São Paulo and Belo Horizonte, we also have branches in the United States, making Radix increasingly consolidated 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 in batch and real-time processes, ensuring quality, reliability and efficiency. * Act in the integration of data from multiple sources, observing governance policies and modeling best practices. * Actively participate in the project life cycle, interacting with data science, infrastructure, security and governance teams. * Contribute to the continuous improvement of the team, guiding peers, optimizing code and promoting technical standards. * Define data architectures aligned with business needs, with a focus on performance and cost optimization. * Demonstrate autonomy in the creation of pipelines and responsibility in meeting deadlines, signaling impediments when necessary, always seeking technical evolution and excellence in deliveries. **For this position, you must have:** * **Advanced English for conversation.** * Technical mastery of data engineering tools and methodologies, being able to prepare data for predictive and prescriptive analyses. * Knowledge of programming logic, the basics of ETL languages such as SQL and Python; * Knowledge of the various types of data (structured and unstructured) in their various technologies (parquet, avro, relational db, document db, etc). * Knowledge of algorithms and data structures. * Knowledge of data platforms, such as databricks, snowflake, cognite, tableau, google bigquery or similar. * Mastery of the main technologies used in data engineering such as Hadoop, Spark, columnar databases or similar. * Intuition about the internal workings of the statistical methods of algorithms. * Knowledge of distributed systems and their existing related technologies. **It is a differential if you have:** * Degree in areas such as Computer Science, Engineering, Statistics, Mathematics, Physics, Economics or related areas. * Master's or Doctorate in Data Science, AI or disciplines that require high analytical capacity. **Benefits:** * National Medical Assistance (for the holder and dependents, with private room) * National dental assistance (for the holder and dependents) * Flexible meal / food voucher * Home office allowance * Day off (in the month of the birthday) * Wellhub (formerly Gympass) * Extended Maternity Leave (6 months) and Paternity Leave (20 days) * Daycare allowance for children up to 3 years old (per child) * Mental health support with Wellz * Benefits Club with discounts from various partners * Agreement with educational institutions and language courses * Professional Development (Corporate University) * Partnership with a coworking company in Brazil * Quality of Life and Well\-Being Program * Consultant doctor for monitoring radixers * Incentive plans **Radix is always at the top of 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 we know that we are together, rowing in the same direction. * We have a diverse environment that values equity and inclusion. * Our working hours are flexible and in almost all projects it is possible to work from anywhere in Brazil. * We value well\-being and care for our people, with mental health support programs, psychiatrist and consultant doctor available. **Did you like it?** **code: b5dc** **\#VemPraRadix**