Mid Flink Developer

The project focuses on the continuous development and modernization of a large-scale streaming data platform. The main objective is to evolve existing Apache Flink-based streaming pipelines while executing complex data migrations and platform upgrades.

• Strong hands-on experience with Apache Flink, including development using the DataStream API
• Proven experience maintaining and upgrading Flink environments, ideally including exposure to Flink 2.0
• Deep understanding of streaming pipeline architecture, performance tuning, state management, and fault tolerance
• Experience migrating large-scale datasets from BigQuery (BQ) to Data Cloud Storage (DCS)
• Strong proficiency in data format conversion, particularly Avro to Parquet
• Ability to design, scale, and automate migration workflows while ensuring data integrity and minimal service disruption
• Solid knowledge of Google Cloud Platform (GCP) and its data services
• Good understanding of distributed systems, schema evolution, and storage optimization strategies

• Developing and enhancing real-time streaming pipelines using Apache Flink
• Migrating existing Flink jobs using the DataStream API and adapting them to newer platform standards
• Leading and executing the upgrade of the Flink platform to version 2.0
• Designing, optimizing, and maintaining high-throughput, fault-tolerant streaming architectures
• Migrating large-scale datasets from BigQuery (BQ) to Data Cloud Storage (DCS)
• Scaling and automating ongoing data migration processes to support growing data volumes
• Converting datasets from Avro to Parquet format with attention to performance, schema evolution, and storage optimization
• Leveraging AI-powered tools to accelerate migration, validation, and transformation workflows
• Ensuring data quality, integrity, and minimal downtime during migrations
• Collaborating with cross-functional teams and clearly communicating technical concepts to non-technical stakeholders