Role Proficiency:
Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities
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Code:
Documentation:
Configure:
Test:
Domain relevance:
Manage Project:
Manage Defects:
Estimate:
Manage knowledge:
Release:
Design:
Interface with Customer:
Manage Team:
Certifications:
Skill Examples:
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*Minimum of 10 years' hands-on experience in the following technologies: Must have: Key Responsibilities: ========================== Architect, configure, and optimize Databricks Pipelines for large-scale data processing within an Azure Data Lakehouse environment. Set up and manage Azure infrastructure components including Databricks Workspaces, Azure Containers (AKS/ACI), Storage Accounts, and Networking. Design and implement a monitoring and observability framework using tools like Azure Monitor, Log Analytics, and Prometheus/Grafana. Collaborate with platform and data engineering teams to enable microservices-based architecture for scalable and modular data solutions. Drive automation and CI/CD practices using Terraform, ARM templates, and GitHub Actions/Azure DevOps. Required Skills & Experience: Strong hands-on experience with Azure Databricks, Delta Lake, and Apache Spark. Deep understanding of Azure services: Resource Manager, AKS, ACR, Key Vault, and Networking. Proven experience in microservices architecture and container orchestration. Expertise in infrastructure-as-code, scripting (Python, Bash), and DevOps tooling. Familiarity with data governance, security, and cost optimization in cloud environments. Bonus: Experience with event-driven architectures (Kafka/Event Grid). Knowledge of data mesh principles and distributed data ownership.
azhure data bricks,CI/CD,delta lake,Apache Spark

Keyskills: continuous integration analytical delta aks ci/cd azure data factory azure devops microservices coding scripting spark devops kanban prometheus azure databricks cd python microsoft azure data bricks as grafana infrastructure kafka scrum terraform bash agile devops tools