
Petabyte-Scale Data Architecture Specialist
1 week ago
The Senior Data Engineer will be responsible for designing and implementing petabyte-scale data architectures to unify data lakes and warehouses.
Key Responsibilities:- Design & Develop Scalable Systems: Design and implement lakehouse architectures using Apache Iceberg and Delta Lake.
- 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 like Trino and Spark for sub-second operations and analytics on real-time data.
- Database Expertise: Work with RDBMS (PostgreSQL, MySQL, SQL Server) and NoSQL systems (Cassandra, MongoDB) 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 to drive technical excellence.
- API Development (Optional): Build and maintain Web APIs (REST/GraphQL) to expose data services internally and externally.
Requirements:
- 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 (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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