Backend Engineer – Data Collection & Processing

Job Title: Backend Engineer – Data Collection & Processing

Job Type: Full-Time

About Client:

Paysecure is a versatile payments processing company catering to all industries. Our platform is built to handle transactions seamlessly, securely, and at scale—no matter the sector. Whether you're in retail, logistics, fintech, healthcare, or any other vertical, our solutions are tailored to deliver reliable and efficient payment infrastructure.

Trust us for seamless payment processing.

With a strong focus on innovation, compliance, and customer-centricity, we empower businesses to accept and manage payments effortlessly across digital and physical channels. Join us in shaping the future of commerce, one transaction at a time.

Summary

We are looking for a Backend Engineer who is passionate about building robust, scalable systems for data acquisition, transformation, and analysis. This role is critical to our data pipeline architecture and will directly contribute to detecting fraud and enabling secure transactions.

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.

● Work 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

● Bachelor’s or Master’s 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).

Nice to Have

● Experience integrating with OSINT or threat intelligence APIs.

● Exposure to web scraping, crawling, or browser-based data capture.

● Background in real-time analytics or fraud detection systems.

● Familiarity with GraphQL or gRPC.