Staff Data Engineer

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.