Data Engineering Opportunity
We are seeking an experienced Data Engineer to join our data team. The ideal candidate will have a strong background in designing and implementing scalable data pipelines, managing infrastructure as code, and ensuring smooth integration across environments.
- Design, develop, and maintain data pipelines and workflows using Databricks.
- Build and manage data transformation models using dbt (Data Build Tool).
- Implement and support infrastructure automation with Terraform and Kubernetes.
- Develop and maintain CI / CD pipelines for data integration and deployment processes.
- Collaborate with data scientists, analysts, and engineers to ensure efficient data flow and architecture.
- Monitor, optimize, and troubleshoot data infrastructure for performance and scalability.
- Work with Azure DevOps to manage repositories, pipelines, and deployments.
- Ensure best practices in data quality, version control, and infrastructure reliability.
Required Skills & Qualifications
4+ years of hands-on experience as a Data Engineer or in a similar role.Strong proficiency in Databricks and dbt.Experience with Azure DevOps for pipeline orchestration and version control.Solid understanding of Kubernetes for container orchestration.Experience implementing infrastructure as code using Terraform.Proven experience setting up and managing CI / CD pipelines for data solutions.Strong understanding of data modeling, ETL processes, and cloud-based data architectures.Excellent problem-solving skills and attention to detail.Strong communication and collaboration abilities within agile teams