Data Engineer - Senior Analyst
Reference: L10/9
- Build and optimise data pipelines using Java (preferred) or Python.
- Develop real-time streaming and batch data pipelines.
- Work with Kafka, Flink or Spark, with Kafka/Flink preferred.
- Develop AWS-based data solutions using Kinesis, MSK, Lambda and Glue.
- Implement data governance, lineage, security and quality controls.
- Support CI/CD using Azure DevOps, GitHub Actions or Jenkins.
- Use Terraform and Infrastructure as Code practices.
- Deploy containerised workloads using Docker, Kubernetes and AWS EKS.
- Collaborate with analytics, AI/ML, product and engineering teams.
Data Engineer - Senior Analyst
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