
Data Infrastructure Architect
7 hours ago
Role Overview: We are looking for an experienced Senior Data Engineer to lead the design and implementation of large-scale data infrastructure.
This role offers a unique opportunity to join a fast-growing company in the Fin-Tech industry and contribute to the development of cutting-edge data engineering solutions.
The ideal candidate will have expertise in architecting and building scalable systems, developing real-time data pipelines, and leveraging modern data warehouses and query engines.
- Architect and build scalable systems using Apache Iceberg, Delta Lake, and Trino.
- Develop and optimize streaming pipelines using Kafka, Pulsar, and Flink.
- Leverage Java to build high-throughput data applications and services.
- Work with RDBMS and NoSQL systems to manage diverse data workloads.
- Ensure data integrity, security, and compliance across multi-tenant systems.
- Manage production infrastructure for reliability, scalability, and cost efficiency.
Key Responsibilities:
- 8+ years of data engineering experience with large-scale systems.
- Expert proficiency in Java for data-intensive applications.
- Hands-on experience with lakehouse architectures, stream processing, and event streaming.
- Strong SQL skills and familiarity with RDBMS/NoSQL databases.
- Proven track record in optimizing query engines and data pipelines.
- Knowledge of data governance, security frameworks, and multi-tenant systems.
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