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2 weeks ago
This is a senior-level data engineering role that focuses on designing and implementing large-scale data architectures to unify data lakes and warehouses.
- The ideal candidate will have extensive experience in designing, building, and optimizing complex data systems using lakehouse technologies like Apache Iceberg and Delta Lake.
- They should also have hands-on experience with stream processing frameworks like Flink and event streaming platforms like Kafka and Pulsar.
- A strong background in Java for building scalable, high-throughput data applications and services is essential.
- The selected candidate will be responsible for modernizing data infrastructure using modern data warehouses and query engines to support sub-second operations and analytics on real-time data.
- They must also have expertise in working with relational databases like PostgreSQL, MySQL, and SQL Server, as well as NoSQL systems like Cassandra and MongoDB.
- Ensuring data integrity, security, and compliance across multi-tenant systems is another critical responsibility of this role.
- Additionally, the successful candidate will manage production infrastructure for reliability, scalability, and cost efficiency.
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