Beyond Soluções
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.
51 - 200 employees
Founded 2017
💳 Fintech
🤝 B2B
☁️ SaaS
Junior Data Engineer
Job not on LinkedIn
November 18
🗣️🇧🇷🇵🇹 Portuguese Required
Beyond Soluções
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.
51 - 200 employees
Founded 2017
💳 Fintech
🤝 B2B
☁️ SaaS
📋 Description
• Collect data from multiple sources, clean and transform raw data, and prepare it for analysis and modeling. • Develop and maintain data pipelines to process and transform data efficiently. • Create reports for business areas, contributing strategically to decision-making. • Test data quality and identify and resolve issues related to data collection, processing, and storage.
🎯 Requirements
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. • Basic knowledge of data engineering, data processing, and databases. • Technical English for reading and writing. • Knowledge of databases and SQL to perform queries during projects. • Knowledge of programming languages (Python, Java, or Scala). • Ability to build data processing pipelines and develop machine learning models. • Create and maintain dashboards and reports to support strategic decisions. • Experience with automation and provisioning tools. • Familiarity with tools for data analysis, storage, and processing, such as AWS Glue, Apache Airflow, Databricks, AWS Athena, AWS Redshift, and Amazon S3.
🏖️ Benefits
• Company-paid health insurance (no employee contribution) • Meal allowance / food voucher 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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