Data Engineer
1 month ago
Data Engineer required by a high-tech company on a remote basis to design and implement cloud-based data pipelines to serve analytical and data science workloads.
The Data Engineer should have in depth knowledge of Databricks and/or Spark and Kubernetes. Their experience should have a strong emphasis on data transformation, and stream processing.
The Data Engineer will be responsible for
- Designing and implementing cloud-based data pipelines to serve analytical and data science workloads
- Provisioning, configuring and securing resources in Microsoft Azure
- Developing containerised services and tools to ingest, store and transform streaming and batch data
- Following principles of infrastructure-as-code, building CI/CD pipelines and working with source control
- Creating and automating unit and integration tests
- Working with data scientists, engineers and project leads to understand requirements and deliver effective BI solutions
- Supporting existing data platform, working with support team to fix issues and deliver change requests, and implement new features
Key experience
- Azure - provisioning resources, monitoring and managing services
- Git
- Setting up CI/CD pipelines
- Infrastructure as code
- ideally via ARM
- Kubernetes
- Databricks / Spark
- SQL
- Python or similar languages
- Development and deployment of services and tools for data generation / transformation
Experience in any of the following areas would be advantageous but is not a prerequisite
- Azure DevOps
- Data warehousing
- Designing and operating ETL on DataBricks at scale
- Apache or Cloudera stack
If you are seeking a role of this nature please get in touch for more information.
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