
Data Engineer, AI
Posted Jul 3

Posted Jul 3
This is a fully remote position, open to applicants in Brazil.
• Propose and construct: Design innovative architectural solutions with a focus on Data Lakehouse and swiftly test new technologies.
• Develop: Create efficient data processes and pipelines (ETL/ELT) employing industry best practices.
• Automate and Orchestrate: Implement automation in Cloud environments (GCP, AWS, or Azure), ensuring optimal performance, security, and data governance.
• Operate with a Product Mindset: Ensure that the data platform is scalable, adaptable, and designed to serve business areas with structured data and AI models.
• Facilitate and Translate: Serve as a liaison between technical and business teams, translating complex engineering and AI concepts into clear and educational language for stakeholders.
• Collaborate: Assist colleagues and teams in adopting industry best practices, acting as a technical resource.
• Strong Python proficiency: Crucial for developing Data Engineering and AI solutions.
• Data Architecture: Substantial experience with contemporary architectures, particularly Data Lakehouse.
• Cloud Computing: Practical experience with cloud platforms (AWS, Azure, or GCP), focusing on managed data and AI services.
• Orchestration and Pipelines: Familiarity with data orchestration tools (preferably Airflow).
• Data Handling: Strong SQL capabilities and experience with ETL/ELT processes (data extraction via APIs, cleansing, deduplication, aggregation, and anonymization).
• Best Practices: Experience with CI/CD (GitHub Actions / Cloud Build) and involvement in agile projects.
• Autonomy and Proactivity (Builder): A hands-on, curious, and independent individual capable of proposing solutions and validating hypotheses swiftly.
• Product Mindset: Ability to recognize that the aim of engineering extends beyond data to encompass the product (data/AI) that meets the needs of other areas.
• Communication and Collaboration: Exceptional communication skills to simplify the "alphabet soup" of AI engineering for business teams, ensuring alignment and engagement.
• Meal and food allowance on FLASH card 🥗
• Home office stipend on FLASH card 💳
• Health insurance 🩺
• Dental insurance 🦷
• Birthday day off + an amount credited to the FLASH card 🎉
• Extended maternity and paternity leave 🍼
• Profit sharing (PLR) 💰
• Life insurance 🧡
• Childcare assistance 👶
• Referral bonus 💰
• Transport voucher 🚍
• Clude | Health platform 🩺
• TotalPass (fitness/wellness) 🏋🏽♀️
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