Backend Engineer â Data Collection & Processing
Backend Engineer â Data Collection & Processing
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Job Description
Job Title: Backend Engineer Data Collection & Processing
Job Type: FullTime
About Client:
Paysecure is a versatile payments processing company catering to all industries. Our platform is built to handle transactions seamlessly securely and at scaleno matter the sector. Whether youre 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 customercentricity 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 highperformance RESTful and eventdriven APIs.
Integrate with thirdparty data sources including public APIs internal systems and dark web monitoring services.
Ensure high availability fault tolerance and realtime performance across services.
Work closely with data scientists threat analysts and frontend engineers to support endtoend data workflows.
Implement security authentication and authorization best practices across backend systems.
Write clean maintainable and welltested code.
Qualifications
Bachelors or Masters degree in Computer Science Engineering or related field.
3 years of backend development experience with languages such as Python Go or Java.
Strong understanding of REST APIs microservices architecture and eventdriven 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 browserbased data capture.
Background in realtime analytics or fraud detection systems.
Familiarity with GraphQL or gRPC.
Required Experience:
Manager
Employment Type
Full-Time
