Senior Specialist - Data Engineering

Must Have Strong hands-on experience with Microsoft Azure services. Expertise in Azure DevOps, including CI/CD pipelines, release management, and automation. Experience with Docker for containerization and image management. Strong knowledge of Kubernetes (AKS), including deployments, scaling, and configuration management. Experience with Azure Container Registry (ACR) for container image management. Hands-on experience with Azure Key Vault for secrets and certificate management. Experience with Azure Blob Storage for cloud data storage and integration. Proficiency in Python/PySpark for data transformation and optimization. Strong SQL/SQL Server skills, including complex queries and performance tuning. Experience in developing and integrating REST APIs. Strong understanding of CI/CD practices, automated deployment, and DevOps methodologies. 
 Experience with automated testing (unit, integration, and end-to-end testing). 
 Hands-on experience with Git, branching strategies, PR reviews, and version control. 
 Knowledge of security best practices, RBAC, secrets management, and image scanning. 
 Experience building and supporting enterprise-scale data engineering solutions. 
 Experience in production support, monitoring, troubleshooting, and reliability engineering. Good to Have Experience with Azure Databricks, including notebooks, jobs, clusters, and workflow orchestration.