Software Engineer III - Big Data Backend

**Job Title: Software Engineer III \- Big Data Backend** **Location:** São Paulo, SP (Hybrid/Onsite) **Employment Type:** Full\-time **Salary:** $2,200 USD monthly (FTE equivalent) **Experience Level:** Mid\-Senior (3–5 years) **Position Overview** We are seeking a Software Engineer with strong expertise in **Big Data systems** (Hadoop, Spark, MapReduce) and backend development to join our Core ML Powerback Features team. The ideal candidate will have hands\-on experience building and migrating large\-scale data processing systems, with a focus on user\-facing products and a deep understanding of distributed systems. **Key Responsibilities** **Big Data System Development \& Migration** * Work on backend features within large\-scale data processing environments * Migrate existing **MapReduce** systems to **Spark** * Design, build, and maintain reliable, scalable data pipelines and processing systems * Employ best practices for code quality, testing, and system reliability **Product \& Engineering Collaboration** * Partner with design, product, and client teams on end\-to\-end functionality for user\-facing products * Understand product impact and propose quick, meaningful fixes to improve user experience * Participate in the full development lifecycle: requirements gathering, implementation, A/B testing, and launch validation **Technical Leadership \& Best Practices** * Write clean, maintainable code that will be used by other engineers * Stay up\-to\-date with emerging technologies in Big Data and distributed systems * Communicate effectively about system architecture, trade\-offs, and product decisions **Qualifications** **Required Technical Skills** * **Strong Java backend development** experience * **Hands\-on experience with Big Data technologies** : Hadoop, Spark, MapReduce * Experience with **distributed systems** and large\-scale data processing * Familiarity with RESTful APIs, storage, caching, and data pipelines * Ability to explain system design and architecture clearly **Preferred Experience** * Experience migrating from **MapReduce to Spark** * Knowledge of **Power BI** or similar data visualization tools is a plus * Background in **consumer\-facing or business\-facing products** * Some exposure to **automation and A/B testing** (though not a primary focus) **Essential Competencies** * **Strong communication skills** – ability to articulate technical concepts and product implications * **Collaborative mindset** – works well with cross\-functional teams (product, design, ML) * **Problem\-solving orientation** – understands user experience and can identify product\-level improvements * **Proactive learner** – keeps up with new technologies and industry trends **Exclusion Criteria** * Candidates with only **frontend/API experience** (JavaScript, React, etc.) will not be considered * Profiles with primarily **financial systems** background are not a good fit * Candidates who list Big Data tools without **hands\-on, practical implementation experience** will be rejected **Work Environment** * **Hybrid/Onsite** in São Paulo, SP * Collaborative team focused on **Core ML and Powerback features** * Engages with **user\-facing products** and large\-scale data infrastructure * Professional growth through work on high\-impact, high\-visibility projects