Data Platform Engineer - Kafka / Streaming / Analytics
Prophecy Technologies
Job Summary: We are seeking an experienced Data Platform Engineer to join our team. The ideal candidate will have strong practical knowledge of Kafka, SQL, Linux, and Kubernetes, and be able to operate, support, and scale real-time data platforms that handle streaming ingestion and analytical queries. Key Responsibilities:
- Operate, support, and scale real-time data platforms that handle streaming ingestion and analytical queries.
- Strong practical knowledge of Kafka, SQL, Linux, and Kubernetes.
- Run and maintain streaming and analytics infrastructure in production environments.
- Monitor, troubleshoot, and optimize platform performance and reliability.
- Work with SQL-based analytical workloads to support real-time and batch analytics use cases.
- Apply strong distributed systems fundamentals to streaming and analytics platforms.
- Hands-on experience with Kafka-like systems and real-time data processing technologies.
- Experience with distributed systems such as Kafka, Spark, Flink, Pulsar, ClickHouse, or similar technologies.
- Ability and willingness to learn new streaming and analytics technologies, including Druid.
- Experience with real-time analytics platforms such as Druid is a plus.
- Kafka.
- SQL.
- Linux.
- Kubernetes.
- Distributed systems fundamentals.
- Kafka-like systems.
- Real-time data processing technologies.
- Distributed systems such as Kafka, Spark, Flink, Pulsar, ClickHouse, or similar technologies.
- 6+ months of experience in data platform engineering.
- Strong practical knowledge of Kafka, SQL, Linux, and Kubernetes.
- Experience with distributed systems such as Kafka, Spark, Flink, Pulsar, ClickHouse, or similar technologies.
- Ability and willingness to learn new streaming and analytics technologies, including Druid.
- Experience with real-time analytics platforms such as Druid.
- Strong communication and collaboration skills.
- Ability to work in fast-paced environment.
Vacancy posted 3 days ago
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