Backend Engineer

As a Backend Engineer specializing in Data Collection & Processing, your role will involve designing and implementing scalable data ingestion pipelines to collect structured and unstructured data from various sources such as browsers, APIs, and external sources. You will be responsible for developing robust ETL/ELT pipelines to clean, transform, and normalize large datasets. Additionally, maintaining secure, high-performance RESTful and event-driven APIs will be a crucial part of your responsibilities. Key Responsibilities: - Design and implement scalable data ingestion pipelines for collecting structured and unstructured data from browsers, APIs, and external sources. - Develop robust ETL/ELT pipelines to clean, transform, and normalize large datasets. - Build and maintain secure, high-performance RESTful and event-driven APIs. - Integrate with third-party data sources including public APIs, internal systems, and dark web monitoring services. - Ensure high availability, fault tolerance, and real-time performance across services. - Collaborate closely with data scientists, threat analysts, and frontend engineers to support end-to-end data workflows. - Implement security, authentication, and authorization best practices across backend systems. - Write clean, maintainable, and well-tested code. Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or related field. - 3+ years of backend development experience with languages such as Python, Node.js, Go, or Java. - Strong understanding of REST APIs, microservices architecture, and event-driven systems. - Experience with data pipeline technologies: Apache Kafka, Redis Streams, RabbitMQ, Airflow, or similar. - Experience working with databases like PostgreSQL, MongoDB, Elasticsearch, or ClickHouse. - Familiarity with containerized environments (Docker, Kubernetes). - Exposure to data privacy and security best practices. - Experience with cloud platforms (AWS, GCP, or Azure). Additional Details: As a Backend Engineer for Data Collection & Processing, you will have the opportunity to work on critical aspects of the data pipeline architecture that directly contribute to fraud detection and secure transactions. Your role will involve collaborating with various teams to ensure the efficiency and effectiveness of data workflows.,