
Chief Data Infrastructure Specialist
1 week ago
As a Senior Data Engineer, you will play a key role in designing and implementing large-scale data systems that unify data lakes and warehouses.
- Key Responsibilities:
- Design and implement petabyte-scale lakehouse architectures to unify data lakes and warehouses.
- Develop and optimize streaming pipelines using Kafka, Pulsar, and Flink to process structured/unstructured data with low latency.
- Build scalable, high-throughput data applications and services using Java.
- Work with modern data warehouses and query engines for sub-second operations and analytics on real-time data.
- Manage diverse data workloads across RDBMS (PostgreSQL, MySQL, SQL Server) and NoSQL (Cassandra, MongoDB) systems.
- Ensure data integrity, security, and compliance across multi-tenant systems.
- Optimize production infrastructure for reliability, scalability, and cost efficiency.
Qualifications:
- 8+ years of data engineering experience with large-scale systems (petabyte-level).
- Expert proficiency in Java for data-intensive applications.
- Hands-on experience with lakehouse architectures, stream processing (Flink), and event streaming (Kafka/Pulsar).
- 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.
- Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform).
What We Offer:
- Unique experience in the Fin-Tech industry.
- A good atmosphere at work and a comfortable working environment.
- Additional benefits like health insurance and attractive leave policies.
- Regular rewards and recognition programs.
Join Our Team: If you are passionate about data engineering and want to contribute to our fast-growing company, we encourage you to apply.
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