
Building Scalable Data Pipelines
1 day ago
We are seeking an experienced Kafka Engineer to join our team. In this role, you will design, develop, and implement scalable Kafka-based data pipelines, producers, consumers, and stream processing using Kafka Streams/KSQL.
As a key member of the engineering team, you will collaborate directly with business teams to gather and analyze technical requirements and translate business needs into scalable Kafka-based architectures and data streaming workflows.
Key Responsibilities:
- Work closely with business stakeholders to understand project requirements and deliver high-quality solutions.
- Design and develop Kafka-based data pipelines, producers, consumers, and stream processing using Kafka Streams/KSQL.
- Integrate Kafka with microservices, databases, and other systems using Kafka Connect and custom connectors.
- Collaborate with cross-functional teams to ensure code quality and delivery timelines are met.
- Support the system through UAT, go-live, and hyper-care phases, ensuring stability and reliability.
Required Skills and Qualifications
- Chained Kafka Transactions: Ensures atomic writes to multiple topics using Kafka transactions.
- Stateful Joins: Joins that maintain state across time or keys & Stateless Operations.
- Kafka Streaming & KTable.
- Kafka Integration.
Benefits
- Opportunity to work on cutting-edge technology and contribute to the development of a robust and scalable data pipeline.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
Others
- Act as a mentor and technical reviewer for team members, ensuring code quality and delivery timelines are met.
- Continuously evaluate and improve processes and procedures to ensure efficiency and effectiveness.
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