Apache Flink Developer
1 day ago
- Design, develop, and deploy Apache Flink applications for real-time data processing.
- Build pipelines for data enrichment, transformations, joins, and aggregations on streaming data.
- Develop and optimize Flink SQL queries for real-time analytics and stream processing use cases.
- Integrate Flink jobs with Kafka platforms (e.g., Confluent Platform, AWS MSK, Apache Kafka).
- Implement fault-tolerant, stateful streaming applications with checkpoints and savepoints.
- Optimize Flink jobs for performance, scalability, and reliability in production environments.
- Collaborate with data engineers, platform engineers, and business stakeholders to translate requirements into working solutions.
- Strong programming skills in Java; experience with Kotlin or Python is a plus.
- Hands-on experience with Apache Flink: DataStream API, Table API, Flink SQL, state management, and event-time processing.
- Proven experience integrating Flink with Kafka or compatible streaming platforms (Confluent, MSK, Ververica).
- Proficiency with SQL and Flink SQL for querying and transforming streaming data.
- Solid understanding of data streaming concepts (event-time, watermarks, windowing, exactly-once semantics).
- Experience building production-grade Flink jobs with fault tolerance and scalability.
- Familiarity with Kubernetes and containerized/cloud-native deployments of Flink.
- Experience with Kafka Streams or ksqlDB.
- Exposure to data lakes/warehouses (e.g., Iceberg, Delta Lake, Snowflake).
- Experience with machine learning pipelines or feature engineering on streaming data.
- Problem solver with the ability to handle complex streaming use cases.
- Collaborative mindset, working effectively with data engineers, platform teams, and stakeholders.
- Curiosity and innovation — passionate about emerging technologies in stream processing.
- Strong communication skills for explaining technical concepts to diverse audiences.
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