
High-Performance Data Engineer
5 days ago
Key Objectives:
• Architect and deploy scalable data platforms using lakehouse technologies.
• Develop high-performance data applications and services utilizing Java for large-scale data systems.
• Build efficient streaming pipelines with Kafka, Pulsar, and Flink to facilitate low-latency data processing.
• Utilize modern query engines like Trino, Spark for sub-second operations and analytics.
• Manage diverse data workloads across relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL systems (Cassandra, MongoDB).
• Ensure data integrity, security, and compliance in multi-tenant environments.
• Optimize production infrastructure for reliability, scalability, and cost-effectiveness.
• Stay informed about advancements in the data ecosystem to drive technical excellence.
• Design and implement Web APIs (REST/GraphQL) to expose data services internally and externally.
Qualifications and Skills:
• 8+ years of experience with complex data engineering systems.
• Expert proficiency in Java for building data-intensive applications.
• Experience with lakehouse architectures, stream processing, and event-driven architecture.
• Strong understanding of SQL 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 system management.
• Experience with cloud platforms and infrastructure-as-code tools.
Benefits and Opportunities:
• Unique experience in the Fin-Tech industry.
• Collaborative work environment and comfortable working conditions.
• Additional benefits including health insurance and leave policies.
• Reward and recognition programs for exceptional performance.
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