test Senior Data Engineer

Salary: $0 - $0 per year Location : Employment option: In-person precise location Job type: Full time Job Summary: Senior-level Data Engineer with strong Java background, focused on building and optimizing high-load data pipelines. The role involves processing large-scale datasets and/or real-time streaming data, ensuring data quality, and making architectural decisions for scalable systems. Skills Must Have Hard skills: - competent in: ETL, Data Engineering - proficient in: AI, SQL - expert in: Multithreading App, Data Quality, Kafka, Data Pipelines, JAVA, Data Structures, Distributed Systems, Algorithms Nice-to-have Hard skills: - novice in: AWS, GCP, Azure, Redis, Elasticsearch - competent in: Copilot, Cloud Platforms Job Description Additional Requirements 5+ years of experience in data engineering with a strong background in Java and high-load systems. Must have hands-on experience with large-scale data processing, multithreading, concurrency, and system design. Experience with Kafka and streaming systems is critical. AI tool usage for development and experience with cloud platforms such as AWS, GCP, or Azure are preferred. Responsibilities Design and build both batch and streaming data pipelines, process large datasets, work on high-throughput systems, implement data validation and consistency checks, design end-to-end data flow from ingestion to analytics, make architectural decisions, and optimize performance and scalability. About Company Company Overview You will be part of an international engineering team focused on developing a modern, intelligent surveillance platform for financial institutions. The system processes high-frequency market data to identify irregular behavior and ensure regulatory compliance across jurisdictions. This role offers exposure to complex engineering challenges, financial domain knowledge, and the opportunity to shape a next-generation platform from within a collaborative and technically strong team.