About the RoleWe are looking for an experienced Data Engineer to join our growing data team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines, managing infrastructure as code, and ensuring smooth CI/CD integration across environments. You’ll work closely with cross-functional teams to design, implement, and optimize data solutions that drive key business insights.Key Responsibilities- Design, develop, and maintain data pipelines and workflows in 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.