Python Developer (Melbourne)

Python Developer with Flink engineer specializing in building high-performance, real‑time data processing applications.

Core Responsibilities

• Design, develop, and maintain real‑time and batch data processing pipelines using Apache Flink.
• Build Flink applications in Python using the Table/SQL API and DataStream API.
• Connect Flink with event‑streaming platforms like Kafka, integrating with databases such as Redis, MongoDB, and cloud services (AWS, Azure).
• Tune streaming jobs for low latency and high throughput, manage state, checkpointing, and ensure exactly‑once processing guarantees.
• Collaborate with data scientists and engineers to translate analytic requirements into scalable production‑grade code.

Required Technical Skills

• Deep knowledge of Python (PEP8, asynchronous services, data structures).
• Robust understanding of Flink concepts such as event‑time semantics, watermarks, and windowing strategies.
• Experience with orchestration tools (Airflow).
• Containerization using Docker.
• Monitoring with Grafana.
• Familiarity with Amazon Flink #J- *-Ljbffr