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.

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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.