
Distinguished Software Architect
2 weeks ago
We are seeking a highly skilled Senior Data Engineer to join our team.
- Key Responsibilities:
- Architect and Build Scalable Systems: Design and implement large-scale data architectures using lakehouse technologies (Apache Iceberg, Delta Lake) to unify data lakes and warehouses.
- Real-Time Data Engineering: Develop and optimize streaming pipelines using Kafka, Pulsar, and Flink to process structured/unstructured data with low latency.
- High-Performance Applications: Leverage Java to build scalable, high-throughput data applications and services.
- Modern Data Infrastructure: Leverage modern data warehouses and query engines (Trino, Spark) for sub-second operation and analytics on real-time data.
- Database Expertise: Work with RDBMS (PostgreSQL, MySQL, SQL Server) and NoSQL (Cassandra, MongoDB) systems to manage diverse data workloads.
- Data Governance: Ensure data integrity, security, and compliance across multi-tenant systems.
- Cost & Performance Optimization: Manage production infrastructure for reliability, scalability, and cost efficiency.
- Innovation: Stay ahead of trends in the data ecosystem (e.g., Open Table Formats, stream processing) to drive technical excellence.
- API Development (Optional): Build and maintain Web APIs (REST/GraphQL) to expose data services internally and externally.
Qualifications:
- 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 (Flink), and event streaming (Kafka/Pulsar).
- Strong SQL skills and familiarity with RDBMS/NoSQL databases.
- Proven track record in optimizing query engines (e.g., Spark, Presto) 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).
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