
Fintech • B2B • SaaS
Beyond Soluções is a technology consulting and solutions firm specializing in agile, innovative projects for the financial market. With eight years of experience, the company provides specialized squads, tech consulting, outsourcing (Hunting and Outsourcing 2. 0), and a digital onboarding product that leverages AI to speed up and secure customer onboarding and reduce time-to-market. Beyond Soluções focuses on delivering B2B technology services and scalable software-enabled solutions that combine technical expertise and business-domain knowledge to improve operational efficiency and compliance for financial services clients.
November 18
🗣️🇧🇷🇵🇹 Portuguese Required

Fintech • B2B • SaaS
Beyond Soluções is a technology consulting and solutions firm specializing in agile, innovative projects for the financial market. With eight years of experience, the company provides specialized squads, tech consulting, outsourcing (Hunting and Outsourcing 2. 0), and a digital onboarding product that leverages AI to speed up and secure customer onboarding and reduce time-to-market. Beyond Soluções focuses on delivering B2B technology services and scalable software-enabled solutions that combine technical expertise and business-domain knowledge to improve operational efficiency and compliance for financial services clients.
• Design and implement complex, scalable data systems • Integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and vector databases • Lead and inspire the data engineering team • Identify and resolve complex issues related to data systems • Develop and implement innovative solutions to optimize data systems • Communicate technical solutions clearly and concisely to stakeholders
• Deep proficiency in Python programming • Experience with data processing tools such as Apache Spark, Kafka, Flink, or equivalents • Knowledge of LLMs, fine-tuning AI models, and using RAG • Familiarity with Amazon Bedrock and/or Azure OpenAI services • Experience with data systems architecture and big data technologies (Hadoop, Hive, HBase) • Experience with streaming (Kafka, Kinesis) and databases (SQL, NoSQL) • Advanced knowledge of data modeling, data processing, and data visualization tools such as SQL, NoSQL, Tableau, Power BI • Advanced experience building Data Lakes and Data Warehouses using tools such as AWS Athena, Amazon Redshift, Amazon S3, AWS Glue, Airbyte, dbt, and PostgreSQL • Strong understanding of machine learning concepts • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field • Technical English for reading, writing, and professional communication
• Company-paid medical insurance (no employee contribution) • Meal/food allowance: R$1,400/month • Dental insurance • Pharmacy discount program • Parking • Profit-sharing (PLR) • On-site cafeteria • Transportation voucher • Totalpass (fitness/wellness benefit) • Life insurance
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