Job description

About the Role: • Immigration sponsorship is not available in this role* We are looking for an experienced Data Engineer (8+ years of experience) with deep expertise in Flink SQL to join our engineering team. This role is ideal for someone who thrives on building robust real-time data processing pipelines and has hands-on experience designing and optimizing Flink SQL jobs in a production environment. You’ll work closely with data engineers, platform teams, and product stakeholders to create scalable, low-latency data solutions that power intelligent applications and dashboards. ⸻ Key Responsibilities: • Design, develop, and maintain real-time streaming data pipelines using Apache Flink SQL. • Collaborate with platform engineers to scale and optimize Flink jobs for performance and reliability. • Build reusable data transformation logic and deploy to production-grade Flink clusters. • Ensure high availability and correctness of real-time data pipelines. • Work with product and analytics teams to understand requirements and translate them into Flink SQL jobs. • Monitor and troubleshoot job failures, backpressure, and latency issues. • Contribute to internal tooling and libraries that improve Flink developer productivity. Required Qualifications: • Deep hands-on experience with Flink SQL and the Apache Flink ecosystem. • Strong understanding of event time vs processing time semantics, watermarks, and state management. • 3+ years of experience in data engineering, with strong focus on real-time/streaming data. • Experience writing complex Flink SQL queries, UDFs, and windowing operations. • Proficiency in working with streaming data formats such as Avro, Protobuf, or JSON. • Experience with messaging systems like Apache Kafka or Pulsar. • Familiarity with containerized deployments (Docker, Kubernetes) and CI/CD pipelines. • Solid understanding of distributed system design and performance optimization. Nice to Have: • Experience with other stream processing frameworks (e.g., Spark Structured Streaming, Kafka Streams). • Familiarity with cloud-native data stacks (AWS Kinesis, GCP Pub/Sub, Azure Event Hub). • Experience in building internal tooling for observability or schema evolution. • Prior contributions to the Apache Flink community or similar open-source projects. Why Join Us: • Work on cutting-edge real-time data infrastructure that powers critical business use cases. • Be part of a high-caliber engineering team with a culture of autonomy and excellence. • Flexible working arrangements with competitive compensation.

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