Data Platform Engineer

🕒 May 6

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Sardine

Sardine

51 - 200 employees

Founded 2020

🔒 Cybersecurity

📋 Compliance

💳 Fintech

Cybersecurity • Compliance • Fintech

Sardine is a cutting-edge platform focused on fraud prevention and compliance. The company offers a behavior-based system for fraud detection, identity verification, and transaction monitoring that helps leading banks, online retailers, and fintechs protect themselves from scams and financial crime. Sardine's technology integrates advanced behavioral biometrics and device intelligence to combat identity fraud, payment fraud, and account takeovers. The platform also streamlines compliance checks such as KYC (Know Your Customer) and AML (Anti-Money Laundering) transaction monitoring. Sardine's comprehensive solution empowers its clients to automate risk decisioning, identify high-risk users early, and manage fraud across the customer journey effectively.

📋 Description

• Design and implement ETL pipelines capable of processing terabytes of data efficiently. • Develop and optimize APIs to support fast and reliable data retrieval, including both exact and partial matches. • Architect and manage scalable storage solutions (e.g., Bigtable, BigQuery, Elasticsearch, or other NoSQL/SQL systems). • Collaborate with cross-functional teams to turn raw data into actionable products that drive insights and business value. • Work closely with both internal and external stakeholders, including data science, product, and operations teams. • Document processes, architectures, and APIs; mentor junior engineers and foster a culture of technical excellence.

🎯 Requirements

• Advanced English proficiency (C1 level) is mandatory. • 5+ years of experience building scalable backend systems, designing high-performance APIs, and processing large-scale datasets. • Hands-on experience designing and building streaming pipelines using technologies such as Apache Flink, Apache Beam, Airflow, and Apache Spark. • Expertise in Go, Python, or Java, combined with a strong foundation in SQL and NoSQL databases (e.g., Bigtable, BigQuery, or DynamoDB) for scalable storage solutions. • Proficiency with AWS or GCP infrastructure, containerization with Docker and Kubernetes, and managing CI/CD pipelines to support efficient deployments. • Strong analytical skills and the ability to thrive in a fast-paced, team-driven environment while clearly communicating complex technical concepts.

🏖️ Benefits

• Generous compensation in cash and equity. • Early exercise for all options, including pre-vested. • Work from anywhere: remote-first culture. • Flexible paid time off and year-end break. • Health insurance, dental, and vision coverage for employees and dependents (US and Canada specific). • 4% matching in 401(k) / RRSP (US and Canada specific). • MacBook Pro delivered to your door. • One-time stipend to set up a home office — desk, chair, monitor, etc. • Monthly meal stipend. • Monthly social meet-up stipend. • Annual health and wellness stipend. • Annual learning stipend.

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