EXL is hiring a Senior Data Engineer to design and operate event-driven data pipelines using Kafka consumers and Flink jobs, building and optimizing large-scale data transformations on Google Cloud Platform, and developing Python data engineering workloads using Polars or Pandas at scale.
Requirements
- Design and operate event-driven data pipelines using Kafka consumers and Flink jobs
- Build and optimize large-scale data transformations on Google Cloud Platform
- Develop Python data engineering workloads using Polars or Pandas at scale
- Build, deploy, and maintain ML pipeline components on Kubeflow Pipelines (KFP) and Vertex AI
- Design event store architecture
- Partner with ML engineers, platform engineers, and data scientists to deliver clean, performant, model-ready data products
- Document architecture decisions and contribute to engineering standards across the platform team
Benefits
- Health, dental, and vision insurance
- 401k Matching
- Paid Time Off
- Flexible Work Arrangements