
Master Data Architect
11 hours ago
Job Title: Master Data Architect
We are seeking a highly skilled professional to design and implement high-performance data processing systems.
The ideal candidate has deep expertise in building scalable ingestion pipelines, distributed systems, and event-driven architectures with strong proficiency in Golang, Java, and C++.
Key Responsibilities:
- Understand and implement system designs for core product development.
- Build and optimize distributed data ingestion systems with parallel processing from diverse sources including cloud storage, relational databases, file systems, Kafka, and Data Lakehouse.
- Develop high-availability (HA) data loading pipelines with cross-region replication.
- Implement monitoring, error reporting, and recovery mechanisms for ingestion pipelines.
- Integrate with Spark connectors for advanced data processing.
- Manage and optimize third-party integrations.
- Collaborate in Agile/Scrum environments and ensure robust delivery using CI/CD.
Strong expertise in distributed systems with applied parallel processing is required. Hands-on experience in one or more of the following is preferred:
- Kafka, Kafka Streams, Kafka Connect, Kafka Security, and customizations.
- Zookeeper and stream processing frameworks.
- Spark connectors and event-driven architectures.
Proficiency in Agile development practices and CI/CD is necessary. Technical skills include:
- Java (All versions)
- C++
- GoLang
- Apache Kafka
- Apache Spark
- PostgreSQL
- Snowflake
- BigQuery
- AWS S3
- Azure
- Google Cloud
- Distributed Computing
- Aglie Methodology
- CI/CD
Desirable skills include gRPC protocol and multi-threading expertise, experience with Zookeeper / ETCD / Consul, familiarity with distributed consensus algorithms (Paxos, Raft), Docker, Kubernetes for containerization, and back-end developer experience.
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